{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","employer_pilot_url":"https://aidevboard.com/verified-interview-pilot","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"candidate_resume_action":{"application_authorized":false,"candidate_charge":0,"endpoint":"https://aidevboard.com/api/v1/candidate/resume-preview","job_id_json_path":"jobs[].id","method":"POST","preview_requires_identity":false,"required_body_fields":["job_id","evidence_bullets"],"requires_explicit_human_review":true,"saved_artifact_protocol":"mcp","saved_artifact_requires_verified_human":true,"saved_artifact_tool":"compile_job_specific_resume","search_requires_identity":false,"status":"available_after_candidate_selects_job","submission_performed":false,"uses_candidate_verified_evidence":true},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"2c486dec-53f7-41d2-9720-2e9a10653b83","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Flight Software (FSW) Engineer - Platform - HITL Infrastructure","slug":"flight-software-fsw-engineer-platform-hitl-infrastructure-a61623fb","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE JOB\n We are looking for a HITL and integration test focused software engineer to develop and proliferate software infrastructure to make bringing up, managing, and running tests against integrated testbeds easy. This role will be accountable to business problems around testbed configuration management, remote access and OPSEC segregation, integration test framework development, and third-party tool integration for requirements traceability and data review.  Experience with HITL operations, including real-time simulation, avionics integration, and closed-loop testing with physical hardware is highly valued. If you have a passion for flight and want to play a core role in enabling the Anduril AD\u0026S organization to continue scaling by orders of magnitude, this is the right role for you!\n  \n WHAT YOU'LL DO \n \n Develop a robust integration test framework capable of executing tests across SITL and HITL environments.\n Create scale-able infrastructure for defining and managing the configuration of testbeds.\n Enable shared access of hardware resources across OPSEC isolation boundaries.\n Proliferate common HITL and test infrastructure across programs ranging from group 5 aircraft, to autonomous boats, to space-based interceptors, and more.\n \n  \n REQUIRED QUALIFICATIONS \n \n Bachelor's Degree or higher in engineering, computer science, mathematics, physics, chemistry, or related technical discipline\n Advanced proficiency with Python\n Familiarity with C/C++\n Hands-on experience with HITL or SITL simulation operations, including test setup, execution, and debugging\n Must be eligible to obtain and maintain a U.S. TS clearance\n \n  \n PREFERRED QUALIFICATIONS \n \n Advanced proficiency with C/C++\n Experience with developing sub-system and system level models (Air vehicle, ground vehicles, ground based sensors and other types of complex systems)\n Flight test support experience, including on-site operations and real-time troubleshooting\n Experience with developing emulated/simulation interfaces for on-board avionics, including CAN, Ethernet, serial protocols, and custom hardware interfaces\n Demonstrated ability to own and operate HITL labs supporting multiple concurrent flight test programs \n US Salary Range\n $129,000 — $220,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.\n Please always verify communications: \n \n Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.\n Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reachin","salary_min":129000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["computer-vision","payments","cloud","infrastructure"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5054523007?gh_jid=5054523007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T16:39:50Z","expires_at":"2026-09-29T13:37:14.496802Z","created_at":"2026-08-29T13:37:43.589294Z","updated_at":"2026-08-30T13:37:14.631222Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2c486dec-53f7-41d2-9720-2e9a10653b83"},{"id":"37e2e099-d7ce-4a9b-ab49-bb3c0fcdad65","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"AI Systems Engineer","slug":"ai-systems-engineer-bc554f3e","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n Team Overview\n Anduril’s Technical Publications organization supports complex hardware, software, autonomy, and defense systems across multiple divisions, business lines, and programs. The Product Manager, Technical Writing Systems, owns the authoring and publishing platform. This role builds the AI systems that extend that platform so the documentation pipeline handles more work at lower cost and lower latency.\n Role Specifics\n As the Applied LLM Systems Engineer, your mission is to design, build, and operate production AI systems that improve how technical documentation is created, transformed, validated, maintained, and delivered. You will build and maintain AI-assisted authoring, automated publishing, and multi-agent coordination tooling for the Technical Publications pipeline. This is not a prompt-writing role. It is a systems-engineering role for someone who has already delivered production AI systems, understands evaluation and rollback, and knows how to make probabilistic systems useful in enterprise environments with structured content, strict review requirements, security boundaries, and real operational consequences. The right candidate can expand system capability while managing token usage, context efficiency, and cost at scale.\n What You’ll Do\n \n Build production-grade LLM applications for documentation and knowledge-work workflows.\n Design orchestration for multi-step workflows that coordinate models, tools, and deterministic services safely.\n Optimize context management, token usage, caching, and workflow design for cost, latency, and task success.\n Build retrieval, structured-output, and tool-integrated systems that safely interact with enterprise content, source control, issue tracking, and documentation systems.\n Design evaluation frameworks and regression testing for prompts, models, tools, retrieval pipelines, and end-to-end workflows.\n Establish observability, auditability, rollback, and safe failure modes for AI-assisted workflows.\n Work directly with technical writers, illustrators, engineers, and documentation leadership to identify the highest-value places to apply AI and where human judgment should remain primary.\n Preserve provenance between source material, generated output, validation results, and human decisions so outputs remain reviewable, correctable, and attributable.\n \n Required Qualifications\n \n Ability to work on-site in Santa Ana, CA.\n 5+ years of professional software engineering experience, including building and operating production services.\n Direct experience delivering at least one production AI system with measurable adoption by its intended users.\n Experience optimizing cost, latency, and context usage in production LLM or workflow systems.\n Experience designing evaluation, observability, rollback, and failure-handling for nondeterministic systems.\n Strong proficiency in Python and modern API, data, and service-development practices, including software architecture, security boundaries, identity and access management, and data protection.\n Sound judgment about where probabilistic AI is appropriate and where deterministic software or human review is required.\n Must be eligible for Secret and higher security clearance (US).\n In this role, you will be subject to pre-employment and randomized substance screening, as required by the Company.\n \n Preferred Qualifications\n \n Experience designing multi-step orchestration or coordination systems across models, tools, and deterministic services.\n Experience with retrieval-augmented generation, structured outputs, tool calling, or other production LLM workflow patterns.\n Experience integrating AI capabilities into desktop or enterprise applications with limited native APIs.\n Experience in defense, aerospace, manufacturing, robotics, autonomy, aviation, or another regulated environment.\n Familiarity with technical documentation, structured authoring, content management, or comparable documentation-heavy workflows.\n Familiarity with S1000D, DITA, MIL-STD-40051, or comparable documentation frameworks.\n Experience with containerized services, cloud infrastructure, CI/CD, queues, event-driven architectures, or production monitoring.\n US Salary Range\n $191,000 — $253,000 USD \n The salary range for this ro","salary_min":191000,"salary_max":253000,"location":"Santa Ana, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["rag","cloud","llm","robotics","agents","computer-vision","payments"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5225164007?gh_jid=5225164007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T16:09:46Z","expires_at":"2026-09-29T13:37:11.370136Z","created_at":"2026-08-29T13:37:39.72932Z","updated_at":"2026-08-30T13:37:11.505208Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/37e2e099-d7ce-4a9b-ab49-bb3c0fcdad65"},{"id":"1a525cd5-6fd1-4af5-be1b-eaa2a3e7709e","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior ML Engineer, Core Development","slug":"senior-ml-engineer-core-development-94a264b5","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the  expertise , technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed,  built  and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a  realtime , 3D  command  and control center. As the world enters an era of strategic competition, Anduril is committed to bringing  cutting-edge  autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.   \n About the Team:   Air Dominance \u0026 Strike designs, builds, and flies autonomous air vehicles—from  collaborative combat aircraft to expendable cruise missiles and counter-UAS  interceptors. Our vehicles move from whiteboard to first flight on timelines that  traditional primes consider impossible, which means our design cycles live or die  on how fast we can close the iteration loop. The Anduril AI Engineering team  exists to collapse that loop.    \n We are engineers first. We work from engineering first principles and unlock capability through machine learning and AI. We are building to scale across CFD, FEA, thermal, and electromagnetics, with pipelines, architectures, and validation practices that carry across programs.   \n   About the Job   We are looking for a Machine Learning Engineer to apply the latest research in  physics ML to the toughest bottlenecks in our design cycle. This role owns the  entire surrogate modeling stack for Air Dominance \u0026 Strike—the architectures,  the training infrastructure, the simulation data pipelines that feed it, and the  tooling design engineers use to consume predictions.    \n   You will develop, train, and deploy surrogate models that accelerate the physics simulations underpinning our air vehicle programs. Working alongside aerodynamicists, structures engineers, and thermal engineers, your models will directly inform decisions on hardware that actually flies. Where current methods fall short, you will develop new ones, with ample room to identify novel applications of physics ML across our portfolio.    \n   Defense experience is not required. We are looking for engineers who came to machine learning through the complex physical problems they were already trying to solve.    \n   This role is based onsite in our Costa Mesa, CA office.   \n   What You'll Do   \n \n Own the Surrogate Modeling Stack:  Drive the end-to-end design, training, and deployment of production-grade surrogate models to accelerate critical simulation workflows (CFD, FEA, thermal, structural, and aeroelastic) across air vehicle design.   \n Develop State-of-the-Art Architectures:  Design and implement neural architectures tailored to engineering physics, developing new techniques for uncertainty quantification, active learning, and inverse problems (such as geometry and shape optimization).   \n Build Robust Data \u0026 Training Infrastructure:  Create the pipelines behind the training—extracting, aggregating, and sanitizing tens of thousands of high-fidelity results from solver outputs.   \n Optimize \u0026 Integrate:  Optimize inference for the design loop (maximizing GPU utilization, batched evaluation, and interactive-speed latency) and seamlessly integrate surrogate predictions into the tooling our domain engineers already use.   \n Collaborate \u0026 Mentor:  Partner with domain engineers to identify where ML delivers the highest leverage, stay current with Physics AI research, and provide technical mentorship to non ML engineers.   \n \n Qualifications   \n \n Education:  BS, MS, or PhD in aerospace, thermal, mechanical, or electrical engineering, or in machine learning/AI/data science with a demonstrated engineering foundation.   \n Experience:  3+ years of experience taking ML models from R\u0026D into production using large-scale scientific or engineering datasets.   \n Physics ML Expertise:  Working knowledge of modern surrogate architectures (e.g. GNNs, Transolver, DoMINO \u0026 GeoTransolver) comb","salary_min":220000,"salary_max":292000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","tensorflow","distributed-systems","computer-vision","data-pipeline","pytorch","mlops","machine-learning"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5216691007?gh_jid=5216691007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T15:59:24Z","expires_at":"2026-09-29T13:37:22.907369Z","created_at":"2026-08-27T13:37:38.482223Z","updated_at":"2026-08-30T13:37:23.045327Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1a525cd5-6fd1-4af5-be1b-eaa2a3e7709e"},{"id":"44046e1e-69ad-4692-9110-7bb87edaadaf","company_id":"43dd17db-bec3-4ebb-a432-f71d57a9aa47","title":"Staff Software Engineer, Imaging","slug":"staff-software-engineer-imaging-4ba96095","description":"THE OPPORTUNITY\n\ninsitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human™ platform identifies novel, high-impact genetic intervention points, which our TherML™ platform translates into therapeutics—whether small molecules, biologics, or oligos. With multiple programs in metabolic disease and neuroscience advancing toward the clinic, and our first IND submission slated for the second half of this year, we are at a pivotal inflection point.\n\nAs a Staff Software Engineer on our Imaging Software team, you will define and expand our computer vision and ML infrastructure across the full imaging data lifecycle — from on-microscope acquisition to high-throughput ML pipelines. You'll build the platform features that make novel imaging modalities and ML-derived phenotypes integral to our discovery workflows, partnering daily with lab scientists, ML scientists, and our microscopy team to turn research prototypes into validated screening workflows that run reliably at laboratory automation scale. This is a chance to set the technical direction for how imaging, automation, and machine learning converge in drug discovery.\n\nBased in South San Francisco, this position reports directly to the Director of Imaging, Cellular Machine Learning and offers an in-person hybrid schedule of three days per week.\n\n\n\n\nRESPONSIBILITIES\n\nPlatform \u0026 Tooling\n\n• Platform Enablement: Partner with lab and ML scientists to design, develop, and scale the platform capabilities needed to run and interpret ML-powered high-content imaging screens\n\n• User Tooling: Build and evolve robust tools and interactive interfaces for data exploration, quality assessment, and visualization so scientists can iterate quickly on experimental data\n\n• Architectural Ownership: Own complex, end-to-end projects, making thoughtful architectural trade-offs, and delivering incrementally with long-term maintainability in mind\n\nProduction Hardening \u0026 Data Integrity\n\n• Production Hardening: Scale and harden complex image processing and ML workflows, taking them from research prototypes to systems that reliably process millions of images per day\n\n• Data Integrity: Set and uphold best-in-class practices for data integrity, lineage tracking, reproducibility, and observability across the entire imaging data lifecycle\n\n• Documentation: Write clear, exemplary technical specifications and documentation that others build on\n\nCross-Functional Partnership\n\n• Scientific Translation: Work closely with lab scientists, ML scientists, and microscopy teams to translate complex experimental needs into clear, actionable technical plans and shipped software\n\n• Mentorship: Raise the technical bar across the team by sharing knowledge and mentoring other engineers\n\n \n\n\nABOUT YOU\n\nExperience \u0026 Qualifications\n\n• Proven Tenure: 8+ years of professional experience building and operating production-grade software and high-throughput data pipelines, primarily in Python\n\n• ML Platform Depth: You have designed, built, and deployed scientific computing pipelines, visualizations, and QC processes for large-scale imaging or similarly high-dimensional datasets\n\n• Distributed Systems Stack: Hands-on experience with a Python-first ML stack, distributed compute (e.g., PyTorch/Lightning, Ray, Kubernetes), and workflow orchestration (e.g., Argo, Airflow, or redun)\n\n• End-to-End Delivery: A track record of owning complex systems from architecture through production operation\n\nCore Competencies\n\n• Cross-Functional Partnership: You thrive alongside scientists and excel at translating abstract research needs into practical, scalable software\n\n• Mission-Driven: You're motivated by enabling scientific breakthroughs through robust platform engineering\n\n• Force Multiplier: You enjoy mentoring and leveling up the engineers around you \n\n\n\n\nCOMPENSATION \u0026 BENEFITS AT INSITRO\n\nOur target starting salary for successful US-based applicants for this role is $219,000 - $233,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.\n\nThis role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.\n\n\n\nIn addition, insitro also provides our employees:\n\n - 401(k) plan with employer matching for contributions\n\n - Excellent medical, dental, and vision coverage as well as mental health and well-being support\n\n - Open, flexible vacation policy\n\n - Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc)\n\n - Quarterly budget for books and","salary_min":219000,"salary_max":233000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["healthcare","payments","data-pipeline","fine-tuning","pytorch","computer-vision","distributed-systems"],"apply_url":"https://jobs.ashbyhq.com/insitro/ff6605ae-4961-4a06-b656-6d7dc665d990/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T22:43:18.642Z","expires_at":"2026-09-29T13:36:50.099247Z","created_at":"2026-08-26T13:36:56.743297Z","updated_at":"2026-08-30T13:36:50.234419Z","company_name":"Insitro","company_slug":"insitro","company_logo_url":"https://www.google.com/s2/favicons?domain=insitro.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/44046e1e-69ad-4692-9110-7bb87edaadaf"},{"id":"4461ba71-4dc2-4cd0-918d-d948be032e34","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Air Vehicle Lead","slug":"air-vehicle-lead-bf2f2798","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE JOB\n Anduril is seeking a Lead Air Vehicle Engineer to join the Maneuver Dominance team at our Costa Mesa HQ to lead the convergence of technical efforts in developing an advanced airborne platform. This individual will play a pivotal role in shaping the future of vertical flight focusing on air vehicle development and integrating mission autonomy to meet the evolving demands of defense capabilities. Here you will work on core product development for unmanned rotorcraft and complex systems, including but not limited to aircraft configuration, composites, mechanisms, and structures. The role requires high ownership and frequent collaboration with other core disciplines. The ideal candidate would be practical, hands-on, and a self starter. High growth potential is possible as well as additional leadership opportunities.\n WHAT YOU’LL DO\n \n Execute rapid evaluation of engineering concepts across a wide range of aerospace disciplines\n Perform trade studies and physics-based analysis of blue-sky engineering problems\n Advanced design, configuration, implementation of a highly complex advanced air vehicle\n Operate with extreme visibility and exercise a vast level of professional autonomy\n Lead design reviews, run analysis, interface with vendors, define and execute hardware test plans\n Build prototypes, analyze failures, and transition successful projects into production\n Support critical software and hardware demonstrations with customers as needed\n Use first principles physics as a basis for every decision\n Ability to provide input across a variety of technical domains not limited to: aerodynamics, flight dynamics, GNC, aeroelastic, loads and dynamics\n \n REQUIRED QUALIFICATIONS\n \n Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Robotics, Physics , or related technical discipline.\n Minimum of 8 years in technical leadership roles such as Technical Program Manager, Chief Engineer, Lead Engineer, or similarly relevant position.\n Leadership experience in engineering team management and project execution for aerospace or defense sectors.\n Deep experience developing VTOL platforms.\n Broad exposure to aircraft concepts, design layouts, static stability, control architectures and propulsion concepts.\n Demonstrated ability to lead and inspire cross-functional teams, fostering a collaborative environment that drives innovation and project success.\n Strong project management skills, with experience using tools like JIRA and Confluence, and knowledge of Agile and Waterfall methodologies.\n Exceptional communication and stakeholder management abilities, capable of engaging effectively with both technical teams and non-technical partners.\n Knowledge of aircraft design principles, including familiarity with vertical lift, as well as aircraft build and integration, and flight test execution/oversight.\n Hands-on experience with the development and deployment of autonomous systems, particularly in rotorcraft or large UAS.\n Eligible to obtain a U.S. Secret security clearance\n Ability to travel up to 50% depending on the product lifecycle\n \n PREFERRED QUALIFICATIONS\n \n Direct experience with autonomous systems, specifically with the development and integration of rotorcraft or larger UAS.\n Deep familiarity with unmanned aircraft, autonomous systems, robotics, aircraft design.\n Knowledgeable in the nuanced integration of complex systems, such as launched effects, into aerial platforms, ensuring system compatibility and performance.\n An extensive network within the aerospace industry, enabling effective collaboration and leveraging partnerships for product development.\n Familiarity with Defense Acquisition Processes and a clear understanding of key review stages and compliance requirements.\n Relevant professional certifications that underscore a commitment to continuous learning and application of industry best practices.\n Customer-facing experience with a proven ability to lead high-profile programs and navigate complex client relationships with confidence and authority.\n US Salary Range\n $191,000 — $253,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may var","salary_min":191000,"salary_max":253000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["robotics","computer-vision","payments","cloud"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5221660007?gh_jid=5221660007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T19:00:36Z","expires_at":"2026-09-29T13:37:10.804808Z","created_at":"2026-08-25T19:38:27.098212Z","updated_at":"2026-08-30T13:37:10.937489Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4461ba71-4dc2-4cd0-918d-d948be032e34"},{"id":"2582184d-bb17-483b-ba2f-bb2282d9c08b","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Field Reliability Engineer - Undersea Reconnaissance \u0026 Strike","slug":"field-reliability-engineer-undersea-reconnaissance-strike-0b776e4a","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n Anduril Maritime builds autonomous underwater/surface vehicles: autonomy computers running control and mission logic, payload computers driving sonar and other sensors, surface integration units, and ground control stations. We're past the \"does it work in the lab\" phase - vehicles are in the field, and field vehicles find bugs the lab never does. We need someone whose job, starting day one, is to pick up those bugs and actually close them: reproduce it, find the real cause, fix it, ship it, tell the team what happened.\n To be clear about what this isn't: it's not a ticket-triage-and-forward job, and it's not \"junior dev does the boring work while senior devs build features.\" You'll be shipping real fixes in the real codebase. You're just entering the codebase through \"this broke on a vehicle\" instead of \"here's a clean feature spec.\" Once you've built up cross-subsystem fluency - which this role forces faster than sitting in one subsystem ever would - you move into owning subsystems and roadmap work like anyone else.\n What you'll actually be doing \n \n Take a field-reported anomaly (sensor stopped publishing, mission faulted mid-track, data stream drifted for no obvious reason) and figure out what subsystem it's actually in - not just where it was reported.\n Reproduce it for real. Replay recorded sensor/mission data through the live pipeline, pull it into visualization tooling, don't guess.\n Use the metrics and log infrastructure that already exists (per-service metrics, dashboards, centralized logs) to reconstruct system state at the moment things went wrong, instead of re-running until you get lucky.\n Confirm the fix in a simulated environment first, hardware-in-the-loop where that matters, before it goes anywhere near a real vehicle.\n Write the fix in whatever language the subsystem actually uses - Rust, C++, Python, Go, whatever — with tests, through CI, out through the normal versioned rollout. No special \"triage\" shortcut path.\n Figure out whether the actual problem is a bug, a bad config, or a deployment mismatch, and fix it at the layer where it actually lives instead of patching around it one level up.\n Write down root cause and fix for every issue you close. Not for the paperwork — so we can see, over months, which subsystems keep breaking and which tests we're missing. Help build the on-call/triage runbook this team doesn't have yet.\n Push back to the owning team when the real fix is \"this subsystem needs to change,\" not \"patch the symptom and move on.\"\n \n  What you need to already have \n \n Real experience debugging code you didn't write, under time pressure, with incomplete information. This matters more than which language you know best.\n Enough comfort in at least two of Rust, modern C++, Python, Go to read and fix bugs in them. You don't need to be an expert in all four - you need to not freeze up when you're dropped into one you know less well.\n Systems-debugging instincts: pull logs and metrics, reconstruct what happened, reproduce offline from recorded data instead of only live.\n Some real exposure to observability tooling (Prometheus/Grafana-class metrics, Loki/ELK-class logs) — you should already know how to use this stuff, not learn it here.\n Linux and systems fluency. Bonus if you've touched declarative/immutable OS setups (NixOS-style).\n The ability to write up what actually happened clearly, without padding it out or burying the cause. \"The vehicle did something weird\" is not an acceptable final answer from you.\n Willingness to work close to hardware and sensors even if you've never touched maritime or robotics before. We're not looking for domain background, we're looking for the debugging instinct.\n Willingness to travel 25%+ of the time on average\n \n Nice to have, not required \n \n Robotics middleware, sensor drivers, or real-time data pipeline experience (sonar, radar, lidar, whatever).\n Time in simulation-in-the-loop or hardware-in-the-loop test setups.\n CI/CD and versioned deployment experience for embedded or fleet software.\n Actual on-call or field-support experience for hardware that ships to real users, not just internal tools.\n \n Where this goes \n \n This is a real entry point, not a holding pen. Do this well and you'll know more of the stack than most ","salary_min":166000,"salary_max":220000,"location":"Quincy, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["payments","computer-vision","cloud","data-pipeline","robotics"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5221278007?gh_jid=5221278007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T15:01:43Z","expires_at":"2026-09-29T13:37:14.216413Z","created_at":"2026-08-25T18:28:18.875116Z","updated_at":"2026-08-30T13:37:14.352331Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2582184d-bb17-483b-ba2f-bb2282d9c08b"},{"id":"566091c6-3c18-4106-9957-b985f48485eb","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Mission Software Engineer - Undersea Reconnaissance \u0026 Strike","slug":"mission-software-engineer-undersea-reconnaissance-strike-c9f12e25","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n Anduril Maritime builds autonomous underwater/surface vehicles: autonomy computers running control and mission logic, payload computers driving sonar and other sensors, surface integration units, and ground control stations. We're past the \"does it work in the lab\" phase - vehicles are in the field, and field vehicles find bugs the lab never does. We need someone whose job, starting day one, is to pick up those bugs and actually close them: reproduce it, find the real cause, fix it, ship it, tell the team what happened.\n To be clear about what this isn't: it's not a ticket-triage-and-forward job, and it's not \"junior dev does the boring work while senior devs build features.\" You'll be shipping real fixes in the real codebase. You're just entering the codebase through \"this broke on a vehicle\" instead of \"here's a clean feature spec.\" Once you've built up cross-subsystem fluency - which this role forces faster than sitting in one subsystem ever would - you move into owning subsystems and roadmap work like anyone else.\n What you'll actually be doing \n \n Take a field-reported anomaly (sensor stopped publishing, mission faulted mid-track, data stream drifted for no obvious reason) and figure out what subsystem it's actually in - not just where it was reported.\n Reproduce it for real. Replay recorded sensor/mission data through the live pipeline, pull it into visualization tooling, don't guess.\n Use the metrics and log infrastructure that already exists (per-service metrics, dashboards, centralized logs) to reconstruct system state at the moment things went wrong, instead of re-running until you get lucky.\n Confirm the fix in a simulated environment first, hardware-in-the-loop where that matters, before it goes anywhere near a real vehicle.\n Write the fix in whatever language the subsystem actually uses - Rust, C++, Python, Go, whatever — with tests, through CI, out through the normal versioned rollout. No special \"triage\" shortcut path.\n Figure out whether the actual problem is a bug, a bad config, or a deployment mismatch, and fix it at the layer where it actually lives instead of patching around it one level up.\n Write down root cause and fix for every issue you close. Not for the paperwork — so we can see, over months, which subsystems keep breaking and which tests we're missing. Help build the on-call/triage runbook this team doesn't have yet.\n Push back to the owning team when the real fix is \"this subsystem needs to change,\" not \"patch the symptom and move on.\"\n \n  What you need to already have \n \n Real experience debugging code you didn't write, under time pressure, with incomplete information. This matters more than which language you know best.\n Enough comfort in at least two of Rust, modern C++, Python, Go to read and fix bugs in them. You don't need to be an expert in all four - you need to not freeze up when you're dropped into one you know less well.\n Systems-debugging instincts: pull logs and metrics, reconstruct what happened, reproduce offline from recorded data instead of only live.\n Some real exposure to observability tooling (Prometheus/Grafana-class metrics, Loki/ELK-class logs) — you should already know how to use this stuff, not learn it here.\n Linux and systems fluency. Bonus if you've touched declarative/immutable OS setups (NixOS-style).\n The ability to write up what actually happened clearly, without padding it out or burying the cause. \"The vehicle did something weird\" is not an acceptable final answer from you.\n Willingness to work close to hardware and sensors even if you've never touched maritime or robotics before. We're not looking for domain background, we're looking for the debugging instinct.\n Willingness to travel 25%+ of the time on average\n \n Nice to have, not required \n \n Robotics middleware, sensor drivers, or real-time data pipeline experience (sonar, radar, lidar, whatever).\n Time in simulation-in-the-loop or hardware-in-the-loop test setups.\n CI/CD and versioned deployment experience for embedded or fleet software.\n Actual on-call or field-support experience for hardware that ships to real users, not just internal tools.\n \n Where this goes \n \n This is a real entry point, not a holding pen. Do this well and you'll know more of the stack than most ","salary_min":166000,"salary_max":220000,"location":"Quincy, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["robotics","payments","cloud","computer-vision","data-pipeline"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5221253007?gh_jid=5221253007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T15:01:09Z","expires_at":"2026-09-29T13:37:17.044808Z","created_at":"2026-08-25T18:28:19.025403Z","updated_at":"2026-08-30T13:37:17.180322Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/566091c6-3c18-4106-9957-b985f48485eb"},{"id":"9a42e317-7954-4330-9e7d-59cad3214bb9","company_id":"8115806a-6d9c-48b9-9a92-5eb180bbd1ef","title":"Applied Research Scientist, AI Research","slug":"applied-research-scientist-ai-research-428d0a90","description":"Descript's Research team builds the models behind the product's most distinctive features: Video Regenerate and lipsync, video translation, zero-shot voice and roomtone cloning, and Studio Sound. We don't build general-purpose generative models. We pick specific problems in the editing workflow and build specialized models for them. This isn't research for its own sake. Everything we build is meant to ship, and most of it has, going from prototype to a production feature used by millions of creators within months.\n This role is focused on multimodal understanding: training models to perceive edited media the way a human video editor does. Underlord, our AI editing agent, reasons about a project largely through a textual representation of it. Giving it direct perception of the media it's working on is what will let it judge its own output and reason about the creative choices in an edit, not just the structure of a project. It's also an open research problem, since there's no settled way to represent or evaluate editorial craft, whether a cut lands or whether the pacing works. We have a unique dataset to work with.\n Some recent work from the team:\n \n Audio editing by latent inpainting : regenerating a masked span of speech \n Video Regenerate : regenerating a speaker's lower face to match new or translated audio\n Jumpcut Smoothing : generating a bridge across a cut so the join plays like a continuous take\n Anchored Tree Sampling : tree-based imputation that bounds drift in long video generation\n PoDAR : disentangling power from semantics in audio latents to make them easier to model\n \n More at descript.com/research .\n What you'll do\n \n Multimodal understanding: build vision-language systems that let Descript's agentic editing features reason over the visual and audio content of a project.\n Evaluation: design the benchmarks and evals that make editorial quality measurable, and that balance quality against cost and latency.\n Data: build the datasets your work depends on, including synthetic data generation where real examples don't exist at scale.\n Training: train specialized models from scratch or fine-tune existing foundation models, whichever gets the capability we need.\n Shipping: take models from prototype to production with the agent and engineering teams.\n Direction-setting: identify the next research direction that should become a Descript feature, not just a paper. More senior candidates should expect to own this directly; more junior candidates will grow into it.\n Publishing: take your work to academic venues if you'd like. We support it, but it isn't a requirement of the role.\n \n What you bring\n Required\n \n Proven ability to design and implement deep learning algorithms, demonstrated by publications, open-source work, or models you've shipped.\n Strong programming skills and deep fluency in PyTorch.\n A track record of generating new ideas in machine learning. You produce more ideas than you can implement, and once an experiment setup is established, you can run and evaluate many of them quickly rather than being bottlenecked on infrastructure.\n Strong experimental judgment. You test ideas fast, and you're honest with yourself and the team about which ones don't pan out.\n Clear written and verbal communication, including when a direction isn't working, so the team doesn't waste time following a lead that's already dead.\n A PhD or Master's in deep learning or a related field, or equivalent experience. We care about the track record more than the credential.\n \n At least one of the following must be true:\n \n Lead or first author of an accepted publication in a top venue: CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, or similar.\n Played a key role in shipping a production feature with deep learning as a core component.\n \n More senior candidates (Senior and Staff) should also bring a track record of owning research direction rather than executing a plan handed to them, and experience mentoring or technically leading other researchers or engineers.\n Where breadth helps\n Direct experience in multimodal understanding is welcome but not required, and we don't require domain-specific expertise in computer vision or speech and audio. Our team spans both, and strong general deep learning ability transfers. We hire against the bar above, and then expect you to grow into the domain. Depth in any of these is a strong signal:\n \n Vision-language models and multimodal understanding.\n Generative modeling for video, audio, or images.\n Post-training, fine-tuning, and RL on large foundation models.\n Building evaluation systems for generative or agentic outputs where metrics resist clean definitions.\n Taking a research idea through to a shipped, production-facing feature.\n \n Compensation and benefits\n Base salary range: $197,000–$262,500, plus equity and benefits. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and level, and may vary from the amount above.\n  \n IMPO","salary_min":197000,"salary_max":262500,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["generative-ai","deep-learning","fine-tuning","computer-vision","pytorch","healthcare","agents","research"],"apply_url":"https://boards.greenhouse.io/descript/jobs/7967440003?gh_jid=7967440003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T00:18:24Z","expires_at":"2026-09-29T13:35:54.489992Z","created_at":"2026-08-25T18:27:44.358668Z","updated_at":"2026-08-30T13:35:54.624927Z","company_name":"Descript","company_slug":"descript","company_logo_url":"https://www.google.com/s2/favicons?domain=descript.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9a42e317-7954-4330-9e7d-59cad3214bb9"},{"id":"241f8621-b66a-4668-ae4c-953914e72085","company_id":"b467c425-56b3-40ce-826a-e603e82a08bd","title":"Senior Software Engineer - Content Understanding","slug":"senior-software-engineer-content-understanding-ab972d21","description":"Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  \n At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  \n A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. \n As a Senior Software Engineer within the Creator Organization, you will develop innovative full-stack solutions that define the future of Roblox’s Content Understanding Platform. This platform processes billions of pieces of content—spanning 3D models, audio files, text, video, and entire experiences—extracting structured information about their meaning, context, and relationships. The Content Understanding Team develops cutting-edge AI models, advanced computer vision systems, and highly scalable backend platforms to power search, discovery, and moderation across Roblox. Your contributions will enable seamless asset discovery, automate moderation at scale, and drive transformative generative AI tools that reshape how millions of creators and users engage with Roblox.\n You Will: \n \n Solve full-stack challenges to improve how AI, creators, and users describe and get along with content, including images, 3D models, audio, text, and video.\n Craft and build scalable pipelines for training, evaluating, and deploying machine learning models to support content annotation and discovery.\n Develop robust backend systems to power real-time search, discovery, and powerful generative AI features.\n Blend innovation with practicality, applying the latest AI research to build impactful, production-ready solutions.\n Collaborate with engineers, product managers, and multi-functional teams to deliver bold technical projects.\n \n You Have: \n \n 7 years of strong programming skills in at least two languages (Python, C#, C++, Java) and a willingness to learn others as needed.\n Exposure to front end technologies and frameworks such as React or Angular.\n Practical experience crafting and scaling backend systems in cloud environments.\n Confirmed expertise across the stack, including backend development to deploying ML models in production environments.\n Familiarity with image or 3D object understanding, ideally within gaming or content creation industries.\n A “get stuff done” mentality with a readiness to solve challenges and take on tasks beyond your comfort zone to get results.\n A great foundation in computer vision, AI, or related fields.\n \n You Are \n \n Experience with large-scale search systems, generative AI, or semantic content understanding.\n Experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow) and end-to-end ML workflows.\n Knowledge of 3D geometry or asset workflows.\n Passion for empowering creators through innovative technology.\n For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page .\n Annual Salary Range\n $243,290 — $295,250 USD \n Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).\n Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.\n For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.","salary_min":243290,"salary_max":295250,"location":"San Mateo, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["computer-vision","generative-ai","pytorch","deep-learning","tensorflow"],"apply_url":"https://careers.roblox.com/jobs/8094470?gh_jid=8094470","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T22:09:19Z","expires_at":"2026-09-29T13:47:50.815075Z","created_at":"2026-08-25T18:33:06.219084Z","updated_at":"2026-08-30T13:47:50.942237Z","company_name":"Roblox","company_slug":"roblox","company_logo_url":"https://www.google.com/s2/favicons?domain=roblox.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/241f8621-b66a-4668-ae4c-953914e72085"},{"id":"e9e8b821-5286-4e5f-b57b-788ca2e99b5d","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Mission Operations Product Manager, Group 5 Mission Autonomy","slug":"mission-operations-product-manager-group-5-mission-autonomy-b3c15eb0","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n WHAT YOU’LL DO   \n \n Develop Mission Autonomy products that support the operation of Group 5 autonomous air vehicles \n Drive product development for the entire lifecycle from initial requirements development to fielding\n Define product roadmaps and timelines, guide cross-functional product decisions, and manage engineering risk\n Working closely with engineering leads and business development, evaluate trades to enable exploration of early designs\n Develop autonomy behavior and supporting product requirements. Collaborate with engineering teams to implement requirements\n Work collaboratively with cross-functional teams, including software engineers, hardware engineers, test engineers, and program managers, to define test requirements and ensure alignment between system capabilities and mission objectives in complex operational scenarios\n Plan, execute, and analyze mission autonomy tests in simulated environments that replicate real-world scenarios to validate system performance and identify areas for improvement, iterating rapidly to refine autonomy behaviors and supporting products\n Support business development teams by being the product voice at the table with customers through customer briefings/demonstrations/exercises\n Support business development in creating and maintain updated presentation templates of product capabilities that can be used as an 80% solution for customer briefs\n \n   \n REQUIRED QUALIFICATIONS   \n \n Operational experience as a Pilot or CSO/NFO of USAF, USN, USMC 4th or 5 th generation fighter/bomber aircraft or RPAs \n Self-starter with high ownership, mission-oriented mentality. Desire to see the product meet the need of the end customer\n Strong analytical skills, with the ability to interpret test data, diagnose system behaviors, and recommend actionable improvements\n Organized and detail-oriented, with strong verbal \u0026 written communication skills\n Proven track record of working collaboratively with multidisciplinary teams to achieve project milestones and deliverables\n Experience in leading system design and development from initial concept through delivery to customers\n Ability to leverage operational experience and technical knowledge to make educated decisions and leverage engineering trades in the absence of clear customer requirements\n Willingness to work flexible hours. Up to 25% travel as required for customer engagements and product development activities\n Active U.S. Top Secret security clearance and experience with Special Access Programs   \n \n PREFERRED QUALIFICATIONS   \n \n 5th generation aircraft pilot experience preferred \n Weapons school instructor, weapons school graduate, test pilot school graduate, Developmental or Operational Test experience\n Bachelor’s degree in STEM, or equivalent experience in a relevant field\n Direct experience in the development, testing, and deployment of mission autonomy systems in a defense or aerospace context\n Familiarity with agile software development practices \n Knowledge of current industry and military standards related to unmanned aerial systems and their operation within national airspace\n Familiarity with the principles of mission autonomy, unmanned systems, and the integration of multiple assets into cohesive operational frameworks\n US Salary Range\n $166,000 — $220,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidat","salary_min":166000,"salary_max":220000,"location":"Washington, DC","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["payments","cloud","fine-tuning","computer-vision"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5217951007?gh_jid=5217951007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T16:55:07Z","expires_at":"2026-09-29T13:37:16.484793Z","created_at":"2026-08-25T18:28:18.996633Z","updated_at":"2026-08-30T13:37:16.620536Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e9e8b821-5286-4e5f-b57b-788ca2e99b5d"},{"id":"d1680506-12cb-44c0-8cdd-d0bee0cdf4b4","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Mission Operations Product Manager, Group 5 Mission Autonomy","slug":"mission-operations-product-manager-group-5-mission-autonomy-9d4ddcf9","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n WHAT YOU’LL DO   \n \n Develop Mission Autonomy products that support the operation of Group 5 autonomous air vehicles \n Drive product development for the entire lifecycle from initial requirements development to fielding\n Define product roadmaps and timelines, guide cross-functional product decisions, and manage engineering risk\n Working closely with engineering leads and business development, evaluate trades to enable exploration of early designs\n Develop autonomy behavior and supporting product requirements. Collaborate with engineering teams to implement requirements\n Work collaboratively with cross-functional teams, including software engineers, hardware engineers, test engineers, and program managers, to define test requirements and ensure alignment between system capabilities and mission objectives in complex operational scenarios\n Plan, execute, and analyze mission autonomy tests in simulated environments that replicate real-world scenarios to validate system performance and identify areas for improvement, iterating rapidly to refine autonomy behaviors and supporting products\n Support business development teams by being the product voice at the table with customers through customer briefings/demonstrations/exercises\n Support business development in creating and maintain updated presentation templates of product capabilities that can be used as an 80% solution for customer briefs\n \n   \n REQUIRED QUALIFICATIONS   \n \n Operational experience as a Pilot or CSO/NFO of USAF, USN, USMC 4th or 5 th generation fighter/bomber aircraft or RPAs \n Self-starter with high ownership, mission-oriented mentality. Desire to see the product meet the need of the end customer\n Strong analytical skills, with the ability to interpret test data, diagnose system behaviors, and recommend actionable improvements\n Organized and detail-oriented, with strong verbal \u0026 written communication skills\n Proven track record of working collaboratively with multidisciplinary teams to achieve project milestones and deliverables\n Experience in leading system design and development from initial concept through delivery to customers\n Ability to leverage operational experience and technical knowledge to make educated decisions and leverage engineering trades in the absence of clear customer requirements\n Willingness to work flexible hours. Up to 25% travel as required for customer engagements and product development activities\n Active U.S. Top Secret security clearance and experience with Special Access Programs   \n \n PREFERRED QUALIFICATIONS   \n \n 5th generation aircraft pilot experience preferred \n Weapons school instructor, weapons school graduate, test pilot school graduate, Developmental or Operational Test experience\n Bachelor’s degree in STEM, or equivalent experience in a relevant field \n Direct experience in the development, testing, and deployment of mission autonomy systems in a defense or aerospace context\n Familiarity with agile software development practices  \n Knowledge of current industry and military standards related to unmanned aerial systems and their operation within national airspace\n Familiarity with the principles of mission autonomy, unmanned systems, and the integration of multiple assets into cohesive operational frameworks\n US Salary Range\n $166,000 — $220,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candid","salary_min":166000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["fine-tuning","computer-vision","cloud","payments"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5197631007?gh_jid=5197631007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T16:55:05Z","expires_at":"2026-09-29T13:37:16.382734Z","created_at":"2026-08-25T18:28:18.992397Z","updated_at":"2026-08-30T13:37:16.524244Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d1680506-12cb-44c0-8cdd-d0bee0cdf4b4"},{"id":"0de3bf04-c0e7-4cad-808a-3b266b247482","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"MSE, Vehicle Software, RUST","slug":"mse-vehicle-software-rust-6adc91e9","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n Air Dominance \u0026 Strike (AD\u0026S) is responsible for autonomous robotics systems like the Fury unmanned fighter jet and the Barracuda family of advanced effects. The AD\u0026S Vehicle Software team is responsible for the software running on these systems. Our senior software engineers collaborate with other engineering disciplines to develop software for vehicle control, networking, sensor integration, and telemetry. We are looking for engineers excited to build the foundational vehicle software stack that supports the wide range of AD\u0026S initiatives, from early concept simulation to first flight to live operations to large scale fleet management.\n REQUIRED QUALIFICATIONS \n \n Eligible to obtain and maintain an active U.S. Top Secret security clearance\n BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.\n 3+ years of production-grade Rust and/or C++ experience in a Linux development environment\n Experience building software solutions involving significant amounts of data processing and analysis\n Ability to quickly understand and navigate complex systems and established code bases\n A desire to work on critical software that has a real-world impact\n Travel up to 20% of time to build, test, and deploy capabilities in the real world\n \n PREFERRED QUALIFICATIONS \n \n Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling \u0026 simulation (M\u0026S) and physical systems\n Developing and testing multi-agent autonomous systems and deploying in real-world environments.\n Feature and algorithm development with an understanding of behavior trees.\n Developing software/hardware for flight systems and safety critical functionality.\n Distributed communication networks and message standards\n Knowledge of military systems and operational tactics\n US Salary Range\n $166,000 — $220,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.\n Please always verify communications: \n \n Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.\n Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . \n \n \n Exercise Caution with Unsolicited Outreach:  If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.\n \n What to Do If You Suspect Fraud:  Should you ","salary_min":166000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["computer-vision","gpu","agents","robotics","payments","cloud","rust"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5218934007?gh_jid=5218934007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T19:48:46Z","expires_at":"2026-09-29T13:37:18.257375Z","created_at":"2026-08-25T18:28:19.086086Z","updated_at":"2026-08-30T13:37:18.392192Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0de3bf04-c0e7-4cad-808a-3b266b247482"},{"id":"c4bf12e8-d3d5-4579-ad68-ed7770dc9043","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Staff Software Engineer, Vehicle Software, C++","slug":"staff-software-engineer-vehicle-software-c-8ad6a6d0","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n Air Dominance \u0026 Strike (AD\u0026S) is responsible for autonomous robotics systems like the Fury unmanned fighter jet and the Barracuda family of advanced effects. The AD\u0026S Vehicle Software team is responsible for the software running on these systems. Our Staff Software Engineers collaborate with other engineering disciplines to develop software for vehicle control, networking, sensor integration, and telemetry. We are looking for engineers excited to build the foundational vehicle software stack that supports the wide range of AD\u0026S initiatives, from early concept simulation to first flight to live operations to large scale fleet management.\n REQUIRED QUALIFICATIONS \n \n Eligible to obtain and maintain an active U.S. Top Secret security clearance\n BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.\n 9+ years of production-grade C++ and/or Rust experience in a Linux development environment\n Experience building software solutions involving significant amounts of data processing and analysis\n Ability to quickly understand and navigate complex systems and established code bases\n A desire to work on critical software that has a real-world impact\n Travel up to 30% of time to build, test, and deploy capabilities in the real world\n \n PREFERRED QUALIFICATIONS \n \n Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling \u0026 simulation (M\u0026S) and physical systems\n Developing and testing multi-agent autonomous systems and deploying in real-world environments.\n Feature and algorithm development with an understanding of behavior trees.\n Developing software/hardware for flight systems and safety critical functionality.\n Distributed communication networks and message standards\n Knowledge of military systems and operational tactics\n US Salary Range\n $220,000 — $292,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.\n Please always verify communications: \n \n Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.\n Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . \n \n \n Exercise Caution with Unsolicited Outreach:  If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.\n \n What to Do If You Suspect Fraud:  Should you e","salary_min":220000,"salary_max":292000,"location":"Boston, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["payments","agents","robotics","gpu","computer-vision","cloud","c++"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5218845007?gh_jid=5218845007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T18:30:29Z","expires_at":"2026-09-29T13:37:29.937413Z","created_at":"2026-08-25T18:28:19.650421Z","updated_at":"2026-08-30T13:37:30.072464Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c4bf12e8-d3d5-4579-ad68-ed7770dc9043"},{"id":"ea9ed310-83a0-4da7-92f0-3500ba5c05a5","company_id":"2ca4efa5-edc2-4352-a597-ea27086e1e5b","title":"Senior Machine Learning Engineer, Digital Twin Platform","slug":"senior-machine-learning-engineer-digital-twin-platform-081ecc8d","description":"We're transforming the grocery industry \n At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. \n Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.\n Instacart is a Flex First team \n There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. \n Overview \n The Digital Twin Platform team at Instacart is on a mission to understand exactly what is on store shelves at all times — bringing the precision and depth of a smart warehouse to every local grocery store across North America. Inventory estimates power some of the most critical products at Instacart, from search to logistics, and this team sits at the center of it all. Operating like a startup within a larger company, the team drives the end-to-end shelf data supply chain: ingesting data from retail partners, actively collecting novel inventory observations, developing sophisticated models, and integrating those outputs into live products at scale.\n We are looking for a Senior Machine Learning Engineer to help build the next generation of platforms for understanding, observing, and predicting inventory levels and in-store stocking dynamics in real time. In this role, you will develop machine learning models and deploy them into production systems, working in close collaboration with software engineers, computer vision engineers, product leads, and data scientists. If you're motivated by technically complex, high-impact problems and want to see your work shape how millions of people experience grocery shopping, this is the role for you.\n You can read more about some of the work this team is doing here:\n Introducing New Enterprise AI Solutions to Democratize AI for Grocers of All Sizes \n Instacart Acquires Arpalus to Advance Real-Time Shelf Intelligence \n About the Job \n \n Design, develop, and deploy machine learning models that power real-time understanding of in-store inventory levels and shelf stocking dynamics across thousands of retail locations at scale.\n Own the full ML lifecycle — from problem framing and data exploration through model training, evaluation, and production deployment — with a focus on quality, reliability, and measurable business impact.\n Collaborate cross-functionally with software engineers, computer vision engineers, data scientists, and product leads to bring cutting-edge technologies to the team and drive new product innovation.\n Contribute to building and evolving the core infrastructure of the Digital Twin Platform, including systems that ingest data from retail partners and actively collect novel inventory observations to feed the modeling pipeline.\n Help define the technical direction of an expanding modeling practice on a high-performance team that operates with startup speed — expect ambiguity, changing priorities, and the opportunity to make a significant mark on a problem space that is core to Instacart's business.\n \n About You \n Minimum Qualifications\n \n 5+ years of experience developing and deploying machine learning models in production environments.\n Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.\n Demonstrated experience with large-scale data pipelines and working with structured and unstructured data at scale.\n Experience with cloud infrastructure (AWS, GCP, or Azure) and familiarity with ML platform tooling for model training, versioning, and serving.\n Bachelor's degree or higher in Computer Science, Machine Learning, Statistics, or a related technical field, or equivalent practical experience.\n \n Preferred Qualifications\n \n Experience working on computer vision, inventory forecasting, demand sensing, or related spatial/temporal modeling problems.\n Familiarity with real-time inference systems and the architectural considerations of serving ML models in low-latency, high-throughput environments.\n Prior experience in a fast-paced, cross-functional environment where you have independently driven projects from conception through production with limited oversight.\n Exposure to retail, supply chain, or e-commerce domains and an understanding of how inventory data flows an","salary_min":206000,"salary_max":217500,"location":"Remote (Canada)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["pytorch","tensorflow","data-pipeline","computer-vision","fine-tuning","cloud","machine-learning"],"apply_url":"https://instacart.careers/job/?gh_jid=8143147","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T19:12:31Z","expires_at":"2026-09-29T13:39:09.843919Z","created_at":"2026-08-25T18:28:59.914166Z","updated_at":"2026-08-30T13:39:09.978396Z","company_name":"Instacart","company_slug":"instacart","company_logo_url":"https://www.google.com/s2/favicons?domain=www.instacart.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ea9ed310-83a0-4da7-92f0-3500ba5c05a5"},{"id":"f4154f18-d97b-44e2-af31-0a213ace915e","company_id":"2ca4efa5-edc2-4352-a597-ea27086e1e5b","title":"Senior Machine Learning Engineer, Digital Twin Platform","slug":"senior-machine-learning-engineer-digital-twin-platform-85efdb23","description":"We're transforming the grocery industry \n At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. \n Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.\n Instacart is a Flex First team \n There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. \n Overview \n The Digital Twin Platform team at Instacart is on a mission to understand exactly what is on store shelves at all times — bringing the precision and depth of a smart warehouse to every local grocery store across North America. Inventory estimates power some of the most critical products at Instacart, from search to logistics, and this team sits at the center of it all. Operating like a startup within a larger company, the team drives the end-to-end shelf data supply chain: ingesting data from retail partners, actively collecting novel inventory observations, developing sophisticated models, and integrating those outputs into live products at scale.\n We are looking for a Senior Machine Learning Engineer to help build the next generation of platforms for understanding, observing, and predicting inventory levels and in-store stocking dynamics in real time. In this role, you will develop machine learning models and deploy them into production systems, working in close collaboration with software engineers, computer vision engineers, product leads, and data scientists. If you're motivated by technically complex, high-impact problems and want to see your work shape how millions of people experience grocery shopping, this is the role for you.\n You can read more about some of the work this team is doing here:\n Introducing New Enterprise AI Solutions to Democratize AI for Grocers of All Sizes \n Instacart Acquires Arpalus to Advance Real-Time Shelf Intelligence \n About the Job \n \n Design, develop, and deploy machine learning models that power real-time understanding of in-store inventory levels and shelf stocking dynamics across thousands of retail locations at scale.\n Own the full ML lifecycle — from problem framing and data exploration through model training, evaluation, and production deployment — with a focus on quality, reliability, and measurable business impact.\n Collaborate cross-functionally with software engineers, computer vision engineers, data scientists, and product leads to bring cutting-edge technologies to the team and drive new product innovation.\n Contribute to building and evolving the core infrastructure of the Digital Twin Platform, including systems that ingest data from retail partners and actively collect novel inventory observations to feed the modeling pipeline.\n Help define the technical direction of an expanding modeling practice on a high-performance team that operates with startup speed — expect ambiguity, changing priorities, and the opportunity to make a significant mark on a problem space that is core to Instacart's business.\n \n About You \n Minimum Qualifications\n \n 5+ years of experience developing and deploying machine learning models in production environments.\n Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.\n Demonstrated experience with large-scale data pipelines and working with structured and unstructured data at scale.\n Experience with cloud infrastructure (AWS, GCP, or Azure) and familiarity with ML platform tooling for model training, versioning, and serving.\n Bachelor's degree or higher in Computer Science, Machine Learning, Statistics, or a related technical field, or equivalent practical experience.\n \n Preferred Qualifications\n \n Experience working on computer vision, inventory forecasting, demand sensing, or related spatial/temporal modeling problems.\n Familiarity with real-time inference systems and the architectural considerations of serving ML models in low-latency, high-throughput environments.\n Prior experience in a fast-paced, cross-functional environment where you have independently driven projects from conception through production with limited oversight.\n Exposure to retail, supply chain, or e-commerce domains and an understanding of how inventory data flows an","salary_min":201000,"salary_max":212000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["cloud","pytorch","computer-vision","fine-tuning","tensorflow","data-pipeline","machine-learning"],"apply_url":"https://instacart.careers/job/?gh_jid=8143145","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T19:12:30Z","expires_at":"2026-09-29T13:39:09.752316Z","created_at":"2026-08-25T18:28:59.910126Z","updated_at":"2026-08-30T13:39:09.886675Z","company_name":"Instacart","company_slug":"instacart","company_logo_url":"https://www.google.com/s2/favicons?domain=www.instacart.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f4154f18-d97b-44e2-af31-0a213ace915e"},{"id":"90971ca5-fcc8-4b69-835c-9a462afd1f5e","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Software Engineer II, MLOps Framework","slug":"software-engineer-ii-mlops-framework-6090a7e5","description":"About the Company   \n At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.   A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.  Now a part of the Daimler family , we are focused solely on developing software for automated trucks to transform how the world moves freight.   Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.   \n Meet the Team   \n As a Software Engineer on the ML Ops Framework \u0026 Conversion team, you will own the pipelines that take models from research to production on edge hardware, including model conversion, compilation, benchmarking, and release. Our team is comprised of engineers with deep expertise in ML and RL frameworks, embedded systems, and autonomous driving — united by a focus on getting models from development into the real world reliably and at scale. The ML Ops Framework \u0026 Conversion team is responsible for the full model conversion process — from architecting TensorRT pipelines to maintaining the model release registry across platforms. In this role, you will work closely with perception and safety teams to ensure every model that ships meets strict latency and accuracy requirements for autonomous trucking. \n What You’ll Do   \n \n Architect and implement model conversion and compilation pipelines using tools such as ONNX, TensorRT, and torch.compile for deployment on edge devices (e.g., NVIDIA Orin).\n Maintain and evolve the model release registry, ensuring traceability and reproducibility across model versions and target platforms.\n Perform rigorous latency benchmarking and model quality parity evaluations to validate that deployed models meet safety-critical performance requirements.\n Compare metrics across platforms to verify accuracy and latency compliance before release.\n Communicate and collaborate with model development teams and broader stakeholders, ensuring your findings translate into reliable, actionable outcomes across the organization.\n \n What You’ll Need to Succeed   \n \n Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 4+ years of experience or;\n Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience.\n Extensive experience with model conversion and compilation pipelines (ONNX, TensorRT, torch.compile) and performing rigorous latency benchmarking and quality parity validation.\n Hands-on experience deploying and testing models on edge hardware (e.g., NVIDIA Orin or similar embedded platforms).\n Experience maintaining a model release registry in a production environment.\n Ability to compare and interpret performance metrics across hardware platforms to validate models against strict latency and accuracy requirements.\n \n Bonus Points \n \n Expertise in model quantization (PTQ, QAT) and mixed-precision inference (INT8, FP8, FP4, BF16/FP16).\n Experience releasing multi-target models across heterogeneous platforms.\n Familiarity with SOTA autonomous driving perception algorithms — temporal 3D object detection, BEV, 3D Occupancy Networks — and multi-modal sensor fusion (vision, LiDAR, radar).\n C++ and/or CUDA kernel development.\n \n Perks of Being a Full-time Torc’r   Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:       \n \n A competitive compensation package that includes a bonus component and stock options   \n \n \n 100% paid medical, dental, and vision premiums for full-time employees   \n \n \n 401K plan with a 6% employer match   \n \n \n Flexibility in schedule and generous paid vacation (available immediately after start date)   \n \n \n AD+D and Life Insurance   \n \n At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.   Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.   \n Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dep","salary_min":139000,"salary_max":166800,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"mid","tags":["mlops","computer-vision","gpu","robotics","payments","autonomous-vehicles"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8728727002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T16:09:33Z","expires_at":"2026-09-29T13:36:08.277033Z","created_at":"2026-08-25T18:27:50.579783Z","updated_at":"2026-08-30T13:36:08.417728Z","company_name":"Torc Robotics","company_slug":"torc-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=torc.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/90971ca5-fcc8-4b69-835c-9a462afd1f5e"},{"id":"576ca9a6-140e-41cd-9a6e-1cb7fad2b4eb","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Compute Systems Architect - Expeditionary AI/HPC Data Centers","slug":"compute-systems-architect-expeditionary-aihpc-data-centers-957ba189","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE JOB\n Anduril Expeditionary Systems (AES) is building AI Factories and Command/Control centers—specialized, high-performance computing centers designed to process petabyte-scale data and convert it into decisions at machine speed from forward operating bases. These are not traditional data centers. They are air-transportable, power-constrained, hardened systems optimized for AI inference at the tactical edge and deeply integrated with Lattice. We are seeking a High Performance Compute Systems Architect to design and build these tactical AI/HPC data centers from the ground up. This is a new and highest priority role. You will architect the complete electrical infrastructure—compute node selection, power distribution, thermal management, battery backup system, and physical hardening—that enables AI processing in austere, contested, and DDIL (degraded/denied/intermittent/limited) environments. This capability does not exist today as a fielded system. You will define what this category looks like and build systems that will be deployed in some of the most challenging environments on earth. Exact candidate title and leveling to be determined based upon technical acumen, professional experience, leadership ability, and assessed capabilities through the interview process.\n WHAT YOU'LL DO\n \n Own the end-to-end architecture of AI Factory tactical data centers from compute hardware through power architecture, networking, and thermal cooling systems\n Design GPU-accelerated compute clusters optimized for AI inference and training workloads at the tactical edge (NVIDIA H100/A100, AMD MI300, or similar)\n Engineer advanced thermal solutions for high-density compute without traditional data center infrastructure (liquid cooling, immersion cooling, hybrid systems)\n Design air-transportable, modular systems (containerized, palletized, vehicle-mounted) that are rapidly deployable and operationally credible\n Build infrastructure optimized for austere and contested environments—extreme temperatures, limited grid power, SCIF-accreditable, electromagnetic hardening\n Work in tight coupling with Lattice and AI/ML teams to ensure physical infrastructure meets mission-critical software requirements\n Partner with defense customers to translate operational requirements and needs into technical architectures\n Lead prototyping, field testing, and operational validation through military exercises and real-world deployments\n Drive systems from concept through production at scale, working across hardware, software, supply chain, and program teams\n Define standards and best practices for tactical AI compute infrastructure across AES product lines\n \n REQUIRED QUALIFICATIONS\n \n Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related technical field\n 5+ years of experience designing and deploying data center infrastructure, HPC clusters, large-scale compute systems, or tensor / accelerator compute nodes.\n 8+ years of engineering experience designing and deploying electrical products\n Deep expertise in GPU-accelerated computing architecture for AI/ML workloads (NVIDIA, AMD, or similar platforms)\n Strong understanding of power distribution systems for high-density compute including PDUs, power shelves, UPS systems, generators, chillers, power distribution, and energy management\n Experience with thermal management for high-power-density systems—liquid cooling and chiller systems.\n Proven track record building and deploying production infrastructure from concept through operational scale\n Systems thinking ability to optimize across competing constraints (performance, power, thermal, weight, cost, reliability)\n U.S. Person status required (U.S. citizen, permanent resident, refugee, or asylee)\n Ability to obtain and maintain a U.S. security clearance (U.S. citizenship may be required)\n Must be able to travel up to 15% of the time\n \n PREFERRED QUALIFICATIONS\n \n Background in AI/ML infrastructure supporting large-scale inference, computer vision, or autonomous systems\n Experienced with high speed compute infrastructure networking and network topologies\n Familiarity with edge computing architectures, distributed inference systems, or autonomous vehicles\n Background in 3-phase powe","salary_min":146000,"salary_max":222000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["autonomous-vehicles","payments","computer-vision","cloud"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5183431007?gh_jid=5183431007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T21:46:14Z","expires_at":"2026-09-29T13:37:12.426165Z","created_at":"2026-08-25T18:28:18.783368Z","updated_at":"2026-08-30T13:37:12.561796Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/576ca9a6-140e-41cd-9a6e-1cb7fad2b4eb"},{"id":"0dfb8aab-f030-4de8-ae57-e7eae9cdd25c","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Senior Machine Learning Engineer, Vision Models","slug":"senior-machine-learning-engineer-vision-models-b67985dc","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The role \n As a Senior Machine Learning Engineer on Wayve's Measurement team in AI Evaluation, based in our Sunnyvale office, you will build the computer vision and scene understanding models Wayve uses to measure the performance of the Wayve Driver offline. You will adapt technology from our on-vehicle models and Wayve Foundation Models into offline models that understand coverage, mine rare events, and assess driving behaviour, and you will drive their accuracy and generalisation across vehicles, markets, and conditions. Measuring your own models rigorously is part of the work. You will define ground truth and correctness criteria across a complex driving taxonomy, and turn them into automated benchmarks and evidence that our validation pipelines and safety cases can stand on.\n The Measurement team builds and qualifies the scene understanding models Wayve uses to measure driving performance offline, after on-road runs and in simulation. Offline is where the interesting headroom is: more compute per frame, larger foundation models, and access to both past and future temporal context that the vehicle never has. The outputs are mission-critical, directly informing model development decisions and customer deliverables. You will work in a focused, high-impact senior team with strong ownership, access to fleet-scale camera, lidar, and simulation data, and close partners across on-vehicle modelling, evaluation, data curation, and simulation.\n Key responsibilities \n \n Develop the models - build, train, and fine-tune the scene understanding models at the centre of Wayve's offline measurement, adapting on-vehicle architectures and Wayve Foundation Models for offline use.\n Drive accuracy and generalisation - improve model performance across vehicle platforms, geographies, and driving conditions; diagnose failure modes and close the loop on blind spots.\n Exploit the offline environment - use the advantages the vehicle does not have: higher compute budgets, larger model capacity, bidirectional temporal context, and multi-task or joint representation learning.\n Measure what you build - benchmark your models, set quality bars, and use metrics and error analysis to steer the next iteration; treat measurement as the feedback that drives the modelling.\n Make the evidence credible - ensure benchmarked results are statistically defensible and fit to feed validation pipelines at scale and our broader safety cases, across the product portfolio.\n Align priorities and mentor - work day-to-day with on-vehicle modelling, evaluation, data curation, and simulation teams across sites; contribute to strong engineering and modelling practice; mentor others on the team; understand how the team's priorities connect to the wider division..\n \n About you  \n In order to set you up for success as a Senior Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.  \n Essential  \n \n 4+ years in ML engineering, including training and shipping deep learning models in production, comfortable taking ambiguous modelling problems from scoping through to a working solution.\n Hands-on experience training modern computer vision models, including transformer-based and multimodal or VLM architectures for detection, segmentation, classification, or scene understanding, on camera and/or lidar sensor data.\n Experience adapting or fine-tuning large pretrained or foundation models, and training shared representations across multiple tasks or objectives (multi-stage or joint training), including real trade-offs across data and losses.\n Proficient in Python and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices and comfort with large-scale training.\n Strong ownership: research-literate and pragmatic, able to drive a significant modelling workstream with autonomy, collaborate across teams, and mentor less experienced engineers.\n Able to measure your own models: comfortable defining and","salary_min":311850,"salary_max":370000,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["deep-learning","computer-vision","fine-tuning","generative-ai","autonomous-vehicles","pytorch","robotics","distributed-systems"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8728757002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T20:07:14Z","expires_at":"2026-09-29T13:43:27.827274Z","created_at":"2026-08-25T18:31:14.421095Z","updated_at":"2026-08-30T13:43:27.960326Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0dfb8aab-f030-4de8-ae57-e7eae9cdd25c"},{"id":"f2ed2319-e947-47cb-a1d1-2efc444c5eea","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Principal Mission Systems Engineer, Air Dominance \u0026 Strike, Active Clearance","slug":"principal-mission-systems-engineer-air-dominance-strike-active-clearance-22cb966a","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE JOB     Anduril’s Air Dominance and Strike (AD\u0026S) team is seeking a Mission Systems Engineer to join our team. The AD\u0026S team is responsible for developing end-to-end “mission-ized” autonomous air systems capable of delivering exceptional warfighter outcomes to our customers.     As a Mission Systems Engineer, you will be responsible for delivering mission outcomes within Anduril programs through the judicious selection, sourcing, and validation of mission relevant payloads and systems. The right person for this role will have experience in payload conceptual development, selection, integration, and validation. You will begin with mission-level outcomes and drive to solutions through appropriate modeling, domain expertise, and vendor engagement. This will require taking ownership of subcontractor and/or internal technical development efforts and working across various Anduril internal teams to appropriately integrate capabilities. If you are someone who enjoys building and delivering compelling next-generation autonomous capabilities through rigorous modeling and exploration of system trades followed by actual vehicle integration, then this role is for you.     WHAT YOU’LL DO   \n \n Conduct trades for communications, sensing, and effector systems to deliver successful mission outcomes working closely with the broader AD\u0026S team   \n Architect autonomous multi-function, multi-mode payload and system solution concepts, requirements, layout, interfaces, \u0026 employment   \n Adapt or derive physics-based models of payload system performance working closely with subject matter experts   \n Adapt or develop validated effects-based models for use in mission-level modeling \u0026 simulation tools   \n Validate system performance in close cooperation with test \u0026 integration engineers   \n Work closely with AD\u0026S teams to successfully integrate \u0026 deliver high-performance systems to our customers   \n Manage subcontractors and/or internal development teams to define subsystem requirements and drive technical performance on schedule   \n Communicate results in multiple forms internally and externally   \n \n   REQUIRED QUALIFICATIONS   \n \n Currently possesses and is able to maintain an active U.S. Top Secret security clearance\n 2+ years of experience at the Architect level, or Chief Engineer\n Owning full scope of new aircraft design\n RF and IR expertise \n Broad depth of experience \n Understands more than just the first order of physics behind the systems they are building \n 15+ years in relevant Science and/or Engineering related field   \n \n   PREFERRED QUALIFICATIONS   \n \n Knowledge of current and next-generation advanced communications, sensing, and effector systems and platforms   \n Platform-level system trade and integration experience   \n Advanced proficiency in analytical toolchains or languages (e.g., MATLAB, Python, C++, COMSOL, Ansys) \n Advanced communications experience (e.g., secure LPx line-of-sight, beyond line-of-sight, tactical data links)   \n Advanced sensing domain experience (e.g., EO/IR, ESM, EA, EW, LIDAR)\n US Salary Range\n $220,000 — $290,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. Th","salary_min":220000,"salary_max":290000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["computer-vision","payments","cloud","fine-tuning"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5216315007?gh_jid=5216315007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T17:16:44Z","expires_at":"2026-09-29T13:37:18.7339Z","created_at":"2026-08-25T18:28:19.109999Z","updated_at":"2026-08-30T13:37:18.86462Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f2ed2319-e947-47cb-a1d1-2efc444c5eea"},{"id":"e162808c-df72-4c08-9993-0438f336d9ac","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Staff AI Infrastructure Engineer","slug":"staff-ai-infrastructure-engineer-f1e0827b","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM   \n The Air Dominance \u0026 Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful autonomy software stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.   \n ABOUT THE JOB   \n We are looking for a founding  Staff AI Infrastructure Engineer  to architect, build, and scale the end-to-end machine learning platform that powers Anduril’s autonomous systems.    \n As a Staff Engineer, you will own the technical roadmap for our ML platform. You will build the robust infrastructure, MLOps tooling, and systems architecture required to train, evaluate, host, and serve complex AI models (including LLMs, computer vision, and RL agents) in both cloud environments and air-gapped, offline tactical edge networks. You will be a force multiplier for our AI Research Scientists, optimizing their experimentation velocity and managing the lifecycle of terabytes of multi-modal sensor and simulation data. Over time, you will help recruit, mentor, and expand this infrastructure engineering team.   \n WHAT YOU’LL DO   \n \n Design, build, and maintain our foundational training, orchestration, and experimentation infrastructure to support state-of-the-art model development. \n Actively identify, measure, and eliminate bottlenecks in the ML research lifecycle. Build highly automated tools for hyperparameter tuning, model profiling, and experimentation tracking.\n Design and scale robust, high-performance ETL pipelines capable of processing terabytes of multi-modal data (video, camera feeds, radar, flight telemetry, and simulation logs) captured from physical assets and test sites.\n Architect high-throughput, low-latency model serving frameworks optimized for both scalable cloud environments and air-gapped, resource-constrained tactical edge environments. Build CI/CD pipelines for ML models with automated validation, canary deployments, and rollback capabilities.\n Build robust, automated pipelines for continuous evaluation, model validation, and reinforcement learning alignment loops (RLHF/DPO) to guarantee model safety and predictability in high-stakes environments.\n Work closely with AI Researchers, Computer Vision teams, and platform engineers to design unified infrastructure standards across the company's autonomous systems programs.   \n \n REQUIRED QUALIFICATIONS   \n \n 7+ years of software engineering experience with a proven track record of designing, building, and operating production-scale machine learning systems and platforms (MLOps). \n Proficient in Python, Go, C++, or similar backend languages. Deep understanding of ML systems design, memory management, and distributed computing.\n Deep experience with containerized deployments (Docker, Kubernetes), GPU scheduling/orchestration, and distributed training frameworks (e.g., PyTorch Distributed, Ray, Slurm, or Megatron-LM).\n Hands-on experience building distributed data pipelines (ETL) and managing massive datasets (terabytes of unstructured/multi-modal sensor data).\n Experience setting technical direction, leading complex system migrations, and mentoring senior engineers.\n Eligible to obtain and maintain an active U.S. Top Secret security clearance.   \n \n PREFERRED QUALIFICATIONS   \n \n Experience building and running ML infrastructure, model serving, or software registries within secure, air-gapped, or highly regulated environments (e.g., IL5/IL6, GovCloud). \n Experience specifically building training and evaluation platforms for Large Language Models, Generative AI architectures, or Reinforcement Learning (RL) pipelines.\n Experience profiling ","salary_min":220000,"salary_max":292000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["computer-vision","mlops","llm","cloud","distributed-systems","robotics","data-pipeline","gpu"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5212860007?gh_jid=5212860007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T16:14:11Z","expires_at":"2026-09-29T13:37:28.517737Z","created_at":"2026-08-25T18:28:19.592013Z","updated_at":"2026-08-30T13:37:28.652109Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e162808c-df72-4c08-9993-0438f336d9ac"}],"page":1,"per_page":20,"total":535,"total_is_exact":true,"total_pages":27}