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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 $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 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":191000,"salary_max":253000,"location":"Washington, DC","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["computer-vision","cloud","payments","fine-tuning"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5265377007?gh_jid=5265377007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-14T13:10:03Z","expires_at":"2026-11-13T16:57:15.893852Z","created_at":"2026-10-14T15:21:01.028112Z","updated_at":"2026-10-14T16:57:15.896738Z","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/431ba833-ac4a-4ffc-b1eb-ea585214fc8c"},{"id":"8e20950b-3b3e-46d3-bbbc-c7144188aaa9","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-36628482","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 $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 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":191000,"salary_max":253000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["payments","computer-vision","fine-tuning","cloud"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5247776007?gh_jid=5247776007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-14T13:10:01Z","expires_at":"2026-11-13T16:57:15.88163Z","created_at":"2026-10-14T15:21:01.032558Z","updated_at":"2026-10-14T16:57:15.885257Z","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/8e20950b-3b3e-46d3-bbbc-c7144188aaa9"},{"id":"f775cd66-297f-48c7-b9f6-9a10c329a36b","company_id":"52f44519-9f93-4eac-ae0b-8be13e385ebe","title":"Member of Design Staff","slug":"member-of-design-staff-41142675","description":"MEMBER OF DESIGN STAFF\n\n\n\nFirecrawl ships fast, and right now our visuals can't keep up. We're looking for a designer with real taste who builds their own AI systems to make great launch work fast. You'll work side by side with Rhys, our Creative Lead, on every launch we ship. Together you'll build Alloy, the AI workspace where our brand and creative tools live. Your work will be the first thing millions of developers see from us.\n\n\n\nSalary Range: $196,000–$220,000 USD/year\n\nEquity Range: Competitive equity. Details shared during the process.\n\nLocation: San Francisco, CA (SF HQ). In office 3+ days a week.\n\nJob Type: Full-time\n\nExperience: 5+ years\n\nWork Authorization: Must be authorized to work in the United States. We support candidates already in the US who need a transfer or existing status (H-1B transfers, F-1 OPT/STEM OPT), plus TN and E-3. We’re not able to start new H-1B sponsorship for candidates outside the US.\n\n\n\n\nABOUT FIRECRAWL\n\nFirecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data. It's the boring-hard problem everyone building with LLMs eventually hits, solved.\n\nIn September 2026, we raised a $75M Series B led by Smash Capital, and we're spending it building the largest repository of knowledge in the world. We hit 8 figures in ARR in year one and more than doubled it in year two. We have 187k+ GitHub stars, putting us in the top 40 repositories of all time, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.\n\nWe're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves. No hiding behind process or headcount.\n\nThis is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web. That library is called Alexandria, and it starts now.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design and animate launch videos and social assets for a constant launch cadence, so visuals are never the thing slowing a launch down.\n\n - Concept launches with Rhys from the first idea, and push back when a brief is wrong.\n\n - Build the systems that make this fast. When something takes too long by hand, you build the tool, agent workflow or reusable primitive that fixes it and add it to Alloy.\n\n - Shape our brand system in Alloy, from type and color to motion and the rules that make it feel like us.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\nTwo things matter most.\n\n - Taste you can see in a launch video. You've made at least one launch video we'd love, with AI or without it, and you can show us exactly what you owned.\n\n - Systems you built to make it fast. You build your own tools and workflows with AI so you can make great work really quickly. You don't need an engineering background.\n\nBeyond those, we look for a few more things.\n\n - You make the call. There's no committee or approval chain. You'll work directly with Rhys and Eric, and you're expected to push back and own the outcome.\n\n - Nice to have. Range across formats like posters and illustration, and After Effects fluency.\n\nBackgrounds that often do well include a motion or brand designer at an AI or devtools startup who owns launches end to end, and a designer or creative technologist who has built their own creative tools with AI.\n\n\n\n\nWHAT WE'RE NOT LOOKING FOR\n\n - Engineers who design on the side. Design is the job.\n\n - Static-only portfolios. Motion is core to the job.\n\n - Anyone who needs a long brief and a long timeline to do great work.\n\n\n\n\nA NOTE ON PACE\n\nWe operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings, but this role probably isn't for you.\n\n\n\n\nBENEFITS \u0026 PERKS\n\n\n\n\nAVAILABLE TO ALL EMPLOYEES\n\n - Salary that makes sense: $196,000–$220,000 USD/year, based on impact, not tenure\n\n - Own a piece: Gain competitive equity in what you're helping build\n\n - Generous PTO: 15 days mandatory, anything after 24 days, just ask (holidays excluded). Take the time you need to recharge\n\n - Parental leave: 12 weeks fully paid, for all parents\n\n - Wellness stipend: $100 USD/month for the gym, therapy, massages, or whatever keeps you human\n\n - Learning \u0026 Development: Expense up to $1,000 USD/year toward anything that helps you grow professionally\n\n - Team offsites: A change of scenery, minus the trust falls\n\n - Sabbatical: 3 paid months off after 4 years, do something fun and new\n\n\n\n\nAVAILABLE TO US-BASED FULL-TIME EMPLOYEES\n\n - Full coverage, no red tape: Medical, dental, and vision (100% for employees, 50% for partner and kids). No weird loopholes, just care that works\n\n - Life \u0026 Disability insurance:","salary_min":196000,"salary_max":220000,"location":"San Francisco, CA","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["payments","agents","data-pipeline","llm"],"apply_url":"https://jobs.ashbyhq.com/firecrawl/36fa90fa-69c0-4591-ad98-435738f36925/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-14T03:25:22.913Z","expires_at":"2026-11-13T17:00:14.091632Z","created_at":"2026-10-14T15:23:48.967274Z","updated_at":"2026-10-14T17:00:14.094755Z","company_name":"Firecrawl","company_slug":"firecrawl","company_logo_url":"https://www.google.com/s2/favicons?domain=firecrawl.dev\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f775cd66-297f-48c7-b9f6-9a10c329a36b"},{"id":"dde20c9f-561a-4f7f-bc17-cbce490cd4b4","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Legal Operations Tech and AI Enabler","slug":"legal-operations-tech-and-ai-enabler-d39c1c40","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 Legal Operations team is responsible for optimizing the efficiency and effectiveness of the Legal Department at Anduril and works cross-functionally to streamline workflows, automate routine tasks, implement best practices and support regulatory compliance efforts. With the overarching aim of supporting the Company’s overall strategic goals, the Legal Operations team acts as a bridge between legal, the Company’s business units, and outside counsel.\n ABOUT THE JOB\n We are looking for a Legal Operations Engineer to join our rapidly growing team on-site in Costa Mesa, California. This is a hands-on technical execution role where you’ll serve as the operational backbone for the Legal Department’s technology ecosystem for our fast-paced, multi-disciplinary team. You will spend real time in Jira, Airtable, Foundry, our CLM, and the seams between them. Expect to move between a same-day fix for a business partner who can't get a document routed, a data cleanup across a few thousand contract records, and a configuration change that shaves a step out of an approval chain. You will become a member of the team who knows how every one of these systems actually behaves, not just how it is supposed to work, which is the foundation for designing the next generation of them. As you build that fluency and demonstrate technical judgment, the work shifts from maintaining to building: scoping requirements, designing automated workflows, and eventually taking point on new system implementations as this function grows. If you are scrappy, technically curious, allergic to manual work a machine could do, and comfortable being the person who gets pinged when a workflow breaks, this role is for you.\n WHAT YOU'LL DO\n Systems Administration \u0026 Operational Excellence \n \n Integrate into the Legal Department's intake and support queue in Jira - triaging tickets, setting expectations, resolving requests, and escalating what needs a lawyer's judgment to gain first-hand knowledge of our fundamental workflows\n Serve as frontline administrator and first responder for our legal systems, including CLM, e-signature, matter management, document management, e-billing, and AI tooling - access, permissions, templates, configuration, and break/fix\n Monitor existing automations and integrations for failures, diagnose root causes, and fix them\n Execute recurring operational work: user provisioning and offboarding, template updates, approval routing changes, access reviews, and system hygiene checks\n Maintain data integrity and quality across contract and matter management systems - establishing metadata standards, field hygiene, bulk updates, deduplication, and cleanup ahead of reporting cycles\n Produce and refresh recurring reporting and dashboards on cycle times, request volume, contract throughput, and outside counsel spend\n \n Process Improvements \n \n Make incremental improvements to existing workflows: reduce manual steps, tighten validation, add conditional logic, eliminate the failure modes you keep seeing in the queue\n Build automations and integrations to close gaps between systems using no-code/low-code platforms, APIs, and scripting\n Track recurring pain points from the ticket queue and surface them to Legal Ops with a proposed fix and a rough sense of effort\n Assist with data migrations and configuration changes during larger Legal Ops initiatives\n Support AI tooling in the department - prompt and template maintenance, output quality spot-checks, and honest reporting on where the tool isn't working\n \n Growing into \n \n Driving tool adoption through training, office hours, and enablement materials - including the follow-up that turns a launched tool into one people actually use\n Scoping and designing new workflows and lightweight applications from ambiguous requirements, with increasing autonomy over time\n Translating what lawyers, paralegals and peer operations associates need into technical requirements, then building, documenting, and supporting the result\n Taking a lead technical role in new system implementations and vendor evaluations\n Partnering with IT, Security, Procurement, and Finance on integrations, vendor onboarding, data handling, and export control requirements\n Shaping the technical dir","salary_min":116000,"salary_max":154000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["llm","payments","api-design","computer-vision","legal"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5264938007?gh_jid=5264938007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T22:32:16Z","expires_at":"2026-11-13T16:57:15.832198Z","created_at":"2026-10-14T15:21:00.965332Z","updated_at":"2026-10-14T16:57:15.835205Z","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/dde20c9f-561a-4f7f-bc17-cbce490cd4b4"},{"id":"3fe52aee-b25e-4fe7-bb7c-574f48250345","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Staff Software Architect, Intelligence Systems ","slug":"staff-software-architect-intelligence-systems-715023cb","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 Anduril Intelligence Systems (AIS) is focused on positioning Anduril as a lead provider of specialized engineering and next generation national security products for Intelligence Community (IC) customers. We work within the IC to understand their requirements, shape their concepts of operation, and deliver exquisite capability across their problem set. We aim to develop and deploy critically needed capabilities that address our customers’ most pressing national security requirements.\n ABOUT THE JOB\n We are looking for a Software Architect to join our rapidly growing team in Reston, VA. In this role, you will be responsible for defining the architectural direction of large-scale, real-time, mission-critical software. You will lead the design of high-performance systems spanning tactical edge deployments to distributed backend infrastructure, make critical trade-offs between performance, modularity, and maintainability at scale, and mentor senior engineers across the organization. This will require deep expertise in modern C++ and Rust, experience architecting numerics-heavy real-time systems, fluency with asynchronous/multithreaded programming (e.g., Tokio), and a strong grasp of the complex intersection of software and math — including state estimation, target tracking, optimization, and dynamic programming (MCP / Bellman equations) . If you are someone who thrives on ambitious problems, enjoys troubleshooting real-world systems, and wants to build software that is beyond a proof-of-concept — part of real tactical code deployed to the warfighter — then this role is for you. \n WHAT YOU’LL DO \n \n Define and drive the architectural vision for large-scale software systems that ingest, fuse, and act on data from diverse sensors in real time\n Lead the design and implementation of performant, real-time, embedded bare-metal systems in Rust at production scale\n Make high-leverage architectural trade-offs across performance, modularity, testability, and maintainability for mission-critical, edge-deployed systems\n Mentor and technically lead senior engineers, setting coding standards, review processes, and CI/CD best practices across the team\n Engage directly with customers to ensure successful outcomes for mission-critical needs\n Troubleshoot complex, real-world system issues spanning software, math assumptions, sensor behavior, and networking\n Contribute to all phases of the software development lifecycle including prototyping, modeling \u0026 simulation, field testing, and deployment\n Help shape hiring and technical growth of the broader organization as it hyper scales\n \n REQUIRED QUALIFICATIONS\n \n 10+ years of software engineering experience with a Bachelor's degree (or equivalent) in Computer Science, Applied/Computational Mathematics, Electrical Engineering, Aerospace Engineering, Controls/Dynamical Systems, Statistics, or related field\n Proven experience architecting large-scale, production-grade codebases in real-time or high-performance environments\n Experience with modern IPC frameworks and fundamentals\n Experience architecting and designing REST APIs for public consumption to articulate complex real-time systems\n Experience with CI/CD, unit testing, git version control, and microservices\n Currently possesses and is able to maintain an active U.S. Secret clearance.\n \n PREFERRED QUALIFICATIONS\n \n M.S. or Ph.D. in a technical field (dual academic background in software + math highly valued)\n Domain expertise in embedded bare-metal systems\n Expert-level proficiency in modern Rust, including asynchronous and multithreaded programming (e.g., Tokio for Rust)\n Experience with FPGA\n Deep knowledge of networking protocols and systems\n Expertise or experience in cryptographic algorithms and the fundamentals of both symmetric and asymmetric cryptography\n Prior DoD program experience (Army, Air Force, MDA, SCO, Navy)\n Experience with GPU / CUDA kernel development\n \n  \n  \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 considera","salary_min":220000,"salary_max":292000,"location":"Reston, VA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","computer-vision","payments","gpu","llm","microservices","api-design"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5261353007?gh_jid=5261353007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T17:16:39Z","expires_at":"2026-11-13T16:57:16.705084Z","created_at":"2026-10-14T15:21:01.965044Z","updated_at":"2026-10-14T16:57:16.707891Z","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/3fe52aee-b25e-4fe7-bb7c-574f48250345"},{"id":"a403cbfc-5ab6-4009-833a-3a9a90e4f43c","company_id":"a0000000-0000-0000-0000-000000000001","title":"Data Engineer, Billing \u0026 Payments","slug":"data-engineer-billing-payments-d1c26c11","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role As a Data Engineer supporting Billing \u0026 Payments Engineering, you'll join the Finance Data Engineering team and build the foundation for accurate, scalable billing and revenue data across Anthropic. You'll work closely with Billing Engineering, Finance and Accounting, as well as Product and other partners, to turn billing and payments data into reliable metrics, reporting and insights. You'll make sure teams have trustworthy data that scales with our growth, and you'll lead your own projects to enable self-serve insights that help teams make data-driven decisions.\n Responsibilities: • Partner with Billing Engineering, Finance and Accounting to understand their data and reporting needs, and translate them into technical requirements • Design, build and maintain data models and pipelines in dbt that transform raw billing, usage and payments data into canonical datasets • Own revenue data accuracy and reconciliation, making sure billing, usage and revenue data tie out across systems • Define success metrics for billing systems, and build the data models and monitoring to track them • Set high data integrity standards and SLAs for timely, accurate delivery of billing and revenue data • Share on-call and data operations responsibilities for Finance Data Engineering pipelines • Build dashboards and self-serve data products that track core metrics and deliver insights across the company • Champion best practices for dbt, data modeling and SQL • Influence the Billing Engineering roadmap from a data systems perspective • Become an expert in our data models and data architecture\n You may be a good fit if you have: • 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar role • Expertise in SQL and Python, and in building multi-step data pipelines with tools like dbt • Experience with workflow orchestration tools like Airflow, and version control with GitHub • Familiarity with billing concepts such as invoicing, payments, credits, refunds and subscriptions, and experience working with data from billing systems • Experience building dashboards and reporting in tools like Hex for multiple cross-functional teams • A bias for action and urgency, without letting perfect be the enemy of the effective • A full-stack mindset: you do what it takes to solve a problem end to end, even when it goes beyond the original scope • Comfort with ambiguity, and the initiative to create clarity and keep work moving • A passion for Anthropic's mission of building helpful, honest and harmless AI\n Strong candidates may also have: • Experience partnering with billing, finance or accounting teams on revenue metrics and reconciliation • Experience building an analytics or data engineering function from an early stage\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $320,000 — $405,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. T","salary_min":320000,"salary_max":405000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","data-pipeline","alignment","data-engineering","data-science"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5450099008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-12T19:03:03Z","expires_at":"2026-11-13T16:54:55.362957Z","created_at":"2026-10-14T15:17:21.640971Z","updated_at":"2026-10-14T16:54:55.365861Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a403cbfc-5ab6-4009-833a-3a9a90e4f43c"},{"id":"32e747ed-8b79-450b-9035-c6baf08039fa","company_id":"82d2abc2-444c-4d89-9646-4739e72d700d","title":"Senior Machine Learning Engineer","slug":"senior-machine-learning-engineer-2cccd4cc","description":"About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company .\n About the team/role \n We’re hiring an ML Engineer (P3) to build and ship the AI systems that power Checkr’s core products. This role sits on the ML team inside Checkr’s Data \u0026 ML organization within Engineering.\n Checkr runs millions of background checks a year. The ML team builds the systems that make those checks faster, more accurate, and cheaper to operate: document processing, charge classification, entity resolution, and in-product intelligence. These are production services that Product Engineering depends on daily.\n This is not a research role or a notebook role. You’ll own ML services end-to-end: design them, code them, deploy them, monitor them. We need someone who writes production software, builds with LLMs and APIs as first-class tools, and can tell the difference between working code and AI slop. If you’ve spent the last few years building AI-native software and you care deeply about engineering craft, we want to talk.\n This role sits in the central Data \u0026 ML team within the Engineering organization. You will partner daily with Product Engineering, Product, and cross-functional teams. You’ll also contribute to Checkr’s broader AI strategy, including our initiative to deploy our agentic fleet and build scalable context with our semantic layer.\n We are looking for someone based in San Francisco who has built ML systems in fast-moving, impact-first environments. Less process, more shipping. Less paperwork, more results.\n What you’ll do \n \n Build and deploy ML/AI services. Design, develop, and ship ML models and AI systems that Product Engineering teams rely on. You write the model code, the API layer, the monitoring, and the tests. Not notebooks; production services.\n Design with LLMs and APIs. Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems. You know when to call an LLM, when to fine-tune, when to use a classical model, and when to write a rule. You think about cost, latency, and quality together.\n Ship production software. Write clean, well-structured code with solid OOP, proper abstractions, error handling, and tests. Your code gets reviewed by SWEs and passes. CI/CD is how you work, not something you bolt on at the end.\n Partner with product and engineering. Translate business problems into ML solutions. Define API contracts with product engineers. Explain your approach clearly to non-ML partners and leave the room with alignment, not confusion.\n Evaluate and iterate fast. Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance. Ship and iterate; don’t wait for perfect.\n Ship AI-powered workflows. Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr’s agentic platform. The expectation is that our teams operate AI-first.\n \n  \n What you bring \n \n A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience\n 6+ years building software professionally, with at least 2 of those building ML systems that run in production\n Strong Python fluency; you write clean, testable, well-structured code with solid OOP instincts. Hands-on experience using LLM APIs in production systems: prompt engineering, structured outputs, function calling, cost management, and evaluation\n You’ve built and maintained APIs, worked with CI/CD pipelines, and shipped code that other engineers depend on\n Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal\n You use AI tools (Copilot, Claude, etc.) to move faster, but you understand every line they produce. You can spot AI slop and you don’t ship it\n An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes. \n \n Nice to have \n \n Experience with MLOps platforms (MLflow, SageMaker, Vertex, or similar)\n Background in document processing, OCR, or information extraction\n Experience with PySpark or large-scale data processing\n Ruby experience (Checkr’s platform runs on Rails)\n Familiarity with compliance-sensitive domains (fintech, legal tech, HR tech)\n Working knowledge of dbt, Snowflake, or modern ELT/data transformation tools\n Pay Transparen","salary_min":176000,"salary_max":207000,"location":"Denver, CO","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","code-generation","payments","legal","llm","mlops","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/checkr/jobs/8274246","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-12T16:04:33Z","expires_at":"2026-11-13T16:58:42.655818Z","created_at":"2026-10-14T15:22:20.04347Z","updated_at":"2026-10-14T16:58:42.658798Z","company_name":"Checkr","company_slug":"checkr","company_logo_url":"https://www.google.com/s2/favicons?domain=checkr.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/32e747ed-8b79-450b-9035-c6baf08039fa"},{"id":"0e915c96-e091-4d28-9652-01f3efa478ae","company_id":"f5ee7284-a657-4da2-b351-cb806a3681cd","title":"Infrastructure Security Engineer (Bare Metal \u0026 Platform)","slug":"infrastructure-security-engineer-bare-metal-platform-65c20bb1","description":"SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.\n ABOUT THE ROLE: \n We are seeking a hands-on Infrastructure Security Engineer to build and secure SpaceXSI's infrastructure from the bare-metal layer up through the platform and application stack. In this role, you will design, implement, and harden physical and private-cloud foundations—servers, networks, identity, and orchestration—and carry that security posture into containers, automation, and hybrid connectivity with public cloud.\n This role focuses on securing critical infrastructure spanning data centers, colo, and hybrid environments, with work that may span platforms such as SpaceXSI, X Social, X Money, and related systems. You’ll operate with an automation-first mindset: building secure foundations at the metal and OS layer, hardening platforms at scale, and partnering closely with engineering so security is embedded in how we build and run systems—not bolted on after the fact.\n RESPONSIBILITIES: \n Bare metal, data center \u0026 network security\n \n Design and implement secure bare-metal and private-cloud architectures (servers, storage, out-of-band management, BIOS/UEFI/BMC firmware posture)\n Harden physical and virtual fleets: OS baselines (Linux/Windows), CIS benchmarks, patch and vulnerability management, and secure boot / measured boot where applicable\n Hands-on firmware, BMC/iDRAC/iLO, PXE/Kickstart provisioning, and hardware lifecycle security\n Build and secure network foundations: segmentation, load balancers, DNS, PKI, NAC, and IDS/IPS on real hardware\n Own hybrid connectivity between on-premises and cloud (site-to-site VPN, Direct Connect / Interconnect / ExpressRoute, SD-WAN, zero-trust access)\n Manage identities and privileged access across Active Directory / LDAP / Kerberos and cloud IAM (federation, SAML/OIDC, PAM)\n Assist with security assessments and audits of physical, on-premises, and hybrid infrastructure\n Monitor and remediate infrastructure to comply with regulations and best practices (e.g., PCI, NIST CSF, GDPR, HIPAA)\n \n Platform, containers \u0026 developer enablement\n \n Design and implement secure container and Kubernetes standards on bare metal and private cloud (not only managed EKS/GKE/AKS), including RBAC, network policy, and secrets\n Develop and maintain Infrastructure as Code and configuration management—especially Puppet—with embedded security controls for physical and virtual fleets\n Collaborate with development teams so security best practices are integrated into CI/CD pipelines\n Secure and enhance CI/CD pipelines; integrate and maintain code and image scanning platforms\n \n Detection, operations \u0026 tooling\n \n Monitor and respond to security events and incidents spanning bare metal, network devices, hosts, and hybrid cloud\n Maintain SIEM data pipelines that ingest on-premises network, host, and cloud telemetry for reliable alerting\n Build, deploy, and maintain security operations infrastructure using Python, Terraform, and Puppet\n Develop dashboards and alerts from security metrics across physical and platform layers\n Develop and maintain infrastructure security policies, standards, and procedures from metal through platform\n Own security projects end to end: identify issues and implement solutions\n Stay current with emerging threats and mitigations for bare-metal, firmware, network, and hybrid-cloud infrastructure\n \n BASIC QUALIFICATIONS: \n \n Bachelor's degree in Computer Science, Cybersecurity, or a related field\n 3–5 years of experience in infrastructure security, platform security, or related hands-on roles\n Proven experience securing bare-metal, data-center, or private-cloud environments (not cloud-only resumes)\n Hands-on experience with firmware, BMC/iDRAC/iLO, PXE/Kickstart provisioning, and hardware lifecycle security\n Strong proficiency with Puppet for configuration management and fleet hardening in production\n Strong understanding of network security concepts and protocols, including hands-on work with firewalls, segmentation, and hybrid connectivity\n Experience with hybrid identity (AD/LDAP or similar) integrated or federated with cloud IAM\n Experience with Infrastructure as Code (e.g., Terraform) applied to physical or VM fleets\n Familiarity with containerization ","salary_min":100000,"salary_max":258000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["payments","cloud","data-pipeline","security","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/xai/jobs/5262880007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-10T01:45:54Z","expires_at":"2026-11-13T16:55:31.592515Z","created_at":"2026-10-14T15:19:21.532282Z","updated_at":"2026-10-14T16:55:31.595612Z","company_name":"xAI","company_slug":"xai","company_logo_url":"https://www.google.com/s2/favicons?domain=x.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0e915c96-e091-4d28-9652-01f3efa478ae"},{"id":"4708c050-c2b9-43f4-863a-aabad3dc6845","company_id":"92df3417-f362-4f1a-9406-e34d8013b283","title":"Senior Data Engineer, Product","slug":"senior-data-engineer-product-1e370dcb","description":"It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.\n The Role \n As a Data Engineer, you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will enable a range of other engineering and business teams to make impactful business decisions by laying the foundation of our large and unique datasets that span across multiple products. This role will support the product data engineering team.\n The Product Data Engineering Team at Block builds and maintains the curated data foundation that powers all of Block's product lines — Cash App, Square, Afterpay, and Tidal. We transform raw event streams, transactional systems, and operational data into governed, tested, and reliable analytical assets across domains including banking, lending, commerce, investing, checkout, and AI assistants. We partner with Product, Engineering, Data Science, Machine Learning, and Applied AI teams to deliver the metrics, experimentation frameworks, and ML-ready datasets that enable Block's products to grow, improve, and serve customers at scale.\n  \n You Will \n \n Lead the creation and optimization of data models across eventing, customer-level, and process-level data, leveraging AI-assisted development tools to accelerate delivery.\n Take shared or independent technical ownership of critical data pipelines across Block — including foundational customer datasets, money transfer and movement pipelines, and the data infrastructure powering Block's experimentation platform.\n Build monitoring to assess data quality and lineage and further, build AI agents for false positive reduction and automated resolution. \n Participate in on-call rotation, monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders. Automate this process through AI agents to focus human effort on highest priority tasks.\n Work with non-technical partners and product teams to understand their needs, translate business requirements into applicable data requirements, and develop automated end-to-end solutions.\n \n  \n You Have \n \n A minimum of 10 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or equivalent experience.\n High proficiency in SQL, Python, and Dbt\n Experience designing medium-to-large data engineering solutions and responsible for the entire lifecycle of projects including scoping, design, development, testing, deployment, and documentation\n Experience with ETL scheduling technologies with dependency checking, such as Airflow or Prefect, as well as \n Experience in schema design and dimensional data modeling\n Experience with setting up data quality and data lineage monitoring\n Experience with data driven decisions through AI and agentic automation\n \n  \n Technologies We Use and Teach \n \n Snowflake\n Databricks\n Dbt\n Github\n Airflow\n Prefect\n Omni\n Terraform\n \n  \n We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page .\n While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.\n  \n Block takes a market-","salary_min":168300,"salary_max":252500,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","payments","cloud","data-pipeline","data-science","data-engineering"],"apply_url":"http://block.xyz/careers/jobs/5442647008?gh_jid=5442647008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T21:28:47Z","expires_at":"2026-11-13T16:58:11.230731Z","created_at":"2026-10-14T15:21:51.255254Z","updated_at":"2026-10-14T16:58:11.233468Z","company_name":"Block","company_slug":"block","company_logo_url":"https://www.google.com/s2/favicons?domain=block.xyz\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4708c050-c2b9-43f4-863a-aabad3dc6845"},{"id":"edfac032-5e92-46fd-a2e9-6a04b912c3b3","company_id":"3e1a646a-409e-4841-b498-fcdfeb9ebf3f","title":"Applied Scientist","slug":"applied-scientist-3dc62a5a","description":"About Us \n Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.\n We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn  and  X ,  and discover the projects we’re solving on our  Blog . Be sure to explore our  Interviewing Guide  to learn how to ace our interview process.\n About the Role \n We are looking for an Applied Scientist to solve challenging and open-ended problems in the domain of Creators and content contextual signals. As an Applied Scientist on Twitch's GTM Science team, you will use applied machine learning to tackle ambiguous business problems across problem areas such as Ads, Brand Safety, Creator Sponsorship and Content Understanding. You will lead high profile projects where you will use a wide toolbox of ML tools to handle multiple types of data, including user behavior, metadata, and user generated content such as text and video. You will collaborate with a team of passionate scientists, engineers, and product stakeholders to develop these models, prototype and put them into production, where they can help Twitch's creators and viewers succeed and build communities.\n You will report to our Senior Data Science Manager for GTM. This position is located in San Francisco, CA.\n You Will: \n \n Build machine learning products to enrich Twitch’s content understanding and help creators and viewers build and discover their communities. \n Propose, design, and oversee execution for high-impact projects that work backwards from customer problems to develop the right solution for the job. Know when to use a classical ML model versus a state-of-the-art one.\n Collaborate with cross-functional engineering and product teams to prototype and deploy your models into flexible data pipelines and ML-based services.\n Bring innovation and help drive science culture on the team by staying up to date and experimenting with new techniques in LLM, computer vision, inference and model evaluation. \n \n You Have: \n \n A degree in a quantitative field (Computer Science, Mathematics, Statistics, Physics, Engineering, or similar) with:\n \n 5+ years of hands-on industry experience with applied ML (Bachelor's), OR\n 3+ years of applied ML experience (Master's), OR\n 1+ year of applied ML experience (PhD)\n \n Experience with LLM model evaluations.\n Experience owning projects that involve numerous scientists and engineers.\n Experience working with both technical and non-technical partners and stakeholders.\n Expertise with: Python and SQL, modern open source ML libraries (Pytorch, Tensorflow, etc.). Developing software in AWS or similar cloud-computing services.\n \n Bonus Points \n \n PhD with a specialization in Machine Learning.\n Experience with computer vision, LLM inference, content understanding. \n 1+ years of experience working in GTM / Content / Creator orgs (not necessarily as a scientist).\n Familiarity with Twitch, its business, and its community.\n \n Perks \n \n Medical, Dental, Vision \u0026 Disability Insurance\n 401(k)\n Maternity \u0026 Parental Leave\n Flexible PTO\n Amazon Employee Discount\n \n   \n Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.  \n Job ID: TW9302\n The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life \u0026 AD\u0026D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .\n US, CA, San Francisco\n $171,600 — $222,200 USD \n Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. \n Twitch values your privacy. Please consult our Candidate Privacy Notice , for information about how we collect, use, and disclose personal information of our candidates.","salary_min":171600,"salary_max":222200,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","payments","tensorflow","data-pipeline","computer-vision","llm","pytorch"],"apply_url":"https://job-boards.greenhouse.io/twitch/jobs/8872835002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T17:45:33Z","expires_at":"2026-11-13T16:58:02.931248Z","created_at":"2026-10-14T15:21:42.861233Z","updated_at":"2026-10-14T16:58:02.934126Z","company_name":"Twitch","company_slug":"twitch","company_logo_url":"https://www.google.com/s2/favicons?domain=twitch.tv\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/edfac032-5e92-46fd-a2e9-6a04b912c3b3"},{"id":"8f18ce3b-de45-44c2-bcb4-bc1c243cc19a","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior AI Infrastructure Engineer, Physical Infrastructure","slug":"senior-ai-infrastructure-engineer-physical-infrastructure-ca6b4797","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 CorpTech Infrastructure Engineering builds and operates the foundational infrastructure that powers Anduril at large. We give engineers, researchers, and product teams across the company a place to deploy fast, scalable infrastructure without having to become infrastructure experts themselves. As Anduril's AI and autonomy ambitions grow, our team is responsible for delivering the next generation of compute, networking, and storage capabilities that make cutting edge model training and inference possible company wide.\n ABOUT THE JOB\n We’re looking for a Senior AI Infrastructure Engineer to lead the vision, execution, and long-term stability of how Anduril trains with GPUs at scale. In this role, you will take absolute ownership of cluster robustness, ensuring our high-performance GPU systems are highly available, fault-tolerant, and resilient for ML platform and research teams company-wide. This is a highly hands-on role where your primary focus is logical stability and automated resilience—building self-healing mechanisms to proactively detect and isolate hardware faults, tuning NCCL and high-speed networking, and optimizing Kubernetes, Run:AI, and Ray scheduling. By replacing manual triage with automated deployment tooling and deep observability, you will ensure our massive-scale training infrastructure runs seamlessly and scales without linear headcount growth.\n WHAT YOU'LL DO\n \n Rack, stack, cable, and bring up GPU compute (H200/B200/B300, NVL72) including physical topology, power, cooling, firmware/BIOS, and burn in validation.\n Build and tune the interconnect fabric (NVLink, InfiniBand, RoCE, Spectrum-X) connecting hundreds of GPUs into low latency training and inference clusters.\n Integrate high performance parallel storage (VAST, DDN, Weka) to sustain the throughput demanded by distributed training and terabyte scale multi modal datasets across Anduril's programs.\n Automate cluster deployment and configuration end to end, including infrastructure as code for bring up, firmware/driver management, and fabric config, so new capacity comes online with minimal manual work.\n Operate and extend our Kubernetes/Run:AI environment for GPU scheduling, quota management, and multi tenant workload isolation across research and engineering teams company wide.\n Own fleet health: monitoring, alerting, and rapid triage of hardware and network faults (bad transceivers, GPU Xid errors, NCCL/collective failures, RoCE congestion).\n Onboard engineers and researchers onto the platform and act as their escalation point, working directly alongside them to debug, train, and optimize their workloads whenever infrastructure, not the model, is the bottleneck.\n Partner with product facing teams across Anduril to understand emerging compute needs and translate them into platform capability.\n \n REQUIRED QUALIFICATIONS\n \n 10+ years in a hands on infrastructure, HPC, or datacenter engineering role supporting GPU compute at scale.\n Hands on experience with H200/B200/B300 (or comparable) GPU systems: bring up, cabling, firmware/driver management.\n Experience with high performance interconnects (NVLink, InfiniBand, RoCE, Spectrum-X) in clusters of hundreds of GPUs.\n Experience with high performance parallel storage (VAST, DDN, Weka, Lustre, or similar).\n Kubernetes required; Run:ai or similar GPU scheduling/orchestration experience strongly preferred.\n Strong automation background. You build repeatable, automated deployment pipelines rather than manual processes.\n Able to lift/move 50+ lbs and perform physical datacenter work (rack/stack/cable/troubleshoot).\n Eligible to obtain and maintain an active U.S. Top Secret clearance.\n \n PREFERRED QUALIFICATIONS\n \n Experience with NVIDIA NVL72 rack scale systems.\n Experience supporting LLM token serving/inference infrastructure alongside training clusters.\n Network fabric tuning experience (congestion control, adaptive routing, QoS) for RoCE/InfiniBand at scale.\n Familiarity with GPU/network observability tooling (DCGM, fabric telemetry) and automated fault detection.\n Experience supporting infrastructure as a shared platform serving multiple internal customer teams with differing requirements.\n US Salary Range\n $166,000 — $220,000 USD \n The salary range for ","salary_min":166000,"salary_max":220000,"location":"Seattle, WA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","payments","cloud","llm","computer-vision","infrastructure"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5261398007?gh_jid=5261398007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T17:17:31Z","expires_at":"2026-11-13T16:57:16.163037Z","created_at":"2026-10-14T15:21:01.333522Z","updated_at":"2026-10-14T16:57:16.165847Z","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/8f18ce3b-de45-44c2-bcb4-bc1c243cc19a"},{"id":"77f59048-ecf1-449b-8a20-a053e12e7b32","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Staff AI \u0026 Agentic Platform","slug":"staff-ai-agentic-platform-404811aa","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 Discovery is Anduril's team for taking the newest problems across domains- space, missile systems, air, sensor capability, autonomy, and cyber- and proving out what is worth solving. We build the models, run the tests, and carry what works to the point where a program can pick it up. Discovery works alongside Air Defense, Space, Intelligence, Cyber, GNC, Hardware, and every other group at Anduril to incubate the solutions to the hardest problems. \n ABOUT THE JOB \n Discovery is building an expeditionary force: a team of engineers who want to solve difficult problems and who navigate unfamiliar territory as an operating standard. As a Discovery engineer, you pick up a concept nobody has proven and build the analysis or prototype that tests it to get to an answer. Whether you spend your time working on hard problems on our autonomy stack, acoustic sensor analysis, or battle space management, we tackle every challenge the same way: by questioning assumptions and building our way to the answer.\n We are focused on taking AI models from research into production—onto classified platforms and edge hardware where they have to perform reliably in the real world. As our model portfolio and classified work grow, rigorous, repeatable evaluation of how these models actually perform has become mission-critical.\n WHAT YOU'LL DO \n \n Develop Test Scenarios Simulation Environments: Develop comprehensive test scenarios, and simulation environments to assess agentic AI performance in classified simulations.\n Validate AI on Classified \u0026 Edge Platforms: Lead the integration and validation of agentic AI systems onto classified platforms and edge hardware.\n Build Reusable Evaluation Pipelines: Build reusable evaluation pipelines, automated test harnesses, and monitoring dashboards for continuous validation.\n Define Actionable Metrics: Figure out what good metrics look like for AI models and traditional models—establishing systematic, historic capture of performance rather than one-shot, deployment-specific measurement.\n Partner Cross-Functionally: Partner with cross-functional teams to define requirements, document test results, and contribute to AI model cards and deployment readiness reviews.\n Own End-to-End Evaluation: Architect, build, and maintain the evaluation and validation infrastructure for our agentic AI and ML models, from unit-level model checks through full-system, scenario-based assessment.\n Troubleshoot and Debug: Analyze and resolve issues uncovered in evaluation and in deployment, ensuring reliability and operational success across every release.\n \n REQUIRED QUALIFICATIONS \n \n Technical Expertise: Bachelor's or Master's degree in Computer Science, Machine Learning, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field.\n Programming Proficiency: At least 8-10 years of hands-on experience writing production-grade code, with strong Python skills for building evaluation pipelines, test harnesses, and tooling.\n Evaluation Ownership Mindset: Demonstrated experience owning evaluation or automated testing for production ML or software systems—test scenarios, metrics, regression suites, and CI infrastructure.\n AI/ML Evaluation Experience: Hands-on experience designing evaluation methodologies for AI or machine learning models—defining metrics, building benchmarks, and assessing model behavior against real-world scenarios.\n Simulation Experience: Experience designing or working extensively with simulation environments to exercise model and system behavior.\n Metrics Discipline: Working knowledge of how to define, capture, and reason about performance metrics for AI models and traditional models, including systematic historic capture over time.\n Systems-Level Thinking: Ability to navigate and contribute to complex systems and established codebases.\n Program Ownership: Comfort operating between technical program management and software engineering—defining requirements, coordinating across teams, and documenting results.\n Real-World Impact: Passion for building the evaluation infrastructure that proves AI works—directly influencing mission-critical outcomes.\n Security Clearance: Must have a TS/SCI clearance.\n \n PREFERRED QUALIFICATIONS \n","salary_min":253000,"salary_max":336000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["computer-vision","mlops","agents","payments","cloud"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5261106007?gh_jid=5261106007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T15:28:13Z","expires_at":"2026-11-13T16:57:16.637678Z","created_at":"2026-10-14T15:21:01.892591Z","updated_at":"2026-10-14T16:57:16.640761Z","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/77f59048-ecf1-449b-8a20-a053e12e7b32"},{"id":"e9149594-5872-43b7-bba2-b0bd2a94c556","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Mission Software Engineer, Mission Systems, Networking","slug":"mission-software-engineer-mission-systems-networking-c4b6b336","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 Mission Systems Software team builds the distributed infrastructure that connects these vehicles to command and control. We develop the messaging, orchestration, and networking backbone that ties individual vehicles into coordinated, multi-vehicle operations. Our engineers develop the services that integrate with Lattice OS, coordinate fleets of vehicles in the field, and task and manage mission payloads and effects. We are looking for engineers excited to own from cradle-to-grave resilient, distributed mission software that supports the full range of AD\u0026S initiatives: from early concept simulation to live operations and large scale fleet management.\n REQUIRED QUALIFICATIONS \n \n \n BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.\n \n Ability to diagnose \u0026 root cause arbitrary \u0026 complex networking or routing failures in multi hop networks\n \n Ability to read packet captures and use standard network debugging tools (tcpdump, Wireshark, etc.)\n \n Experience with end to end testing of both unicast and multicast data flows\n \n Strong understanding of networking fundamentals: TCP/UDP, socket programming, MTU, multicast, TLS/mTLS\n \n Experience utilizing timing protocols such as NTP and PTP\n \n CCNA or equivalent exp.\n \n A high comfort working in a Linux environment\n \n Experience with systemd \n \n Familiarity with Kubernetes and container orchestration\n \n Experience with Git \u0026 GitHub\n \n 2-3+ years of experience using C++, Rust, or equivalent mid-level language\n \n Travel up to 30% of time to build, test, and deploy capabilities in the real world\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n Track record of high ownership and bias for action\n \n PREFERRED QUALIFICATIONS \n \n \n Experience building or maintaining distributed systems (message buses, RPC frameworks, consensus protocols, or similar)\n \n Familiarity with asynchronous programming models (async/await, event loops, futures)\n \n Comfort working with Protocol Buffers and/or gRPC\n \n Experience with Linux’s FRR package\n \n Active Secret U.S. security clearance\n \n  \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 su","salary_min":166000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["api-design","payments","robotics","distributed-systems","cloud","computer-vision","gpu"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5260436007?gh_jid=5260436007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-07T18:48:40Z","expires_at":"2026-11-13T16:57:15.933818Z","created_at":"2026-10-14T15:21:01.07217Z","updated_at":"2026-10-14T16:57:15.936654Z","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/e9149594-5872-43b7-bba2-b0bd2a94c556"},{"id":"0d92accb-86d4-4adc-8cb1-271641d5df4a","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Mission Software Engineer, Mission Systems, Deployment and Infrastructure","slug":"mission-software-engineer-mission-systems-deployment-and-infrastructure-11f93080","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 Mission Systems Deployment \u0026 Infrastructure team owns the path our software takes from a developer's commit to running on a vehicle in the field. That includes our CI/CD pipelines and build infrastructure, the software-in-the-loop (SITL) environments engineers rely on to test before deploying to hardware, and the on-vehicle Kubernetes infrastructure that manages software deployed on mission systems. A core part of this role is solving software delivery in environments that don't look like typical cloud deployment and getting builds securely into classified and disconnected government systems where standard internet-based delivery isn't an option. We are looking for engineers who want to own the full delivery chain, from build to test to field deployment, for systems where getting this wrong has real operational consequences.\n REQUIRED QUALIFICATIONS \n \n \n BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.\n \n 3+ years of experience building and maintaining CI/CD pipelines and build infrastructure in a production environment\n \n Production-grade software development experience (C++, Rust, Python, Go, or equivalent) in a Linux environment\n \n Deep experience with Kubernetes and container orchestration, including deploying and managing services in constrained or non-standard network environments\n \n Comfort navigating complex, multi-stage delivery pipelines and diagnosing failures across build, test, and deployment stages\n \n Experience with Git \u0026 GitHub, including branching/release strategies for shipping software to production\n \n Travel up to 30% of time to build, test, and deploy capabilities in the real world\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n Track record of high ownership and bias for action\n \n PREFERRED QUALIFICATIONS \n \n \n Experience delivering software into classified, air-gapped, or otherwise disconnected environments\n \n Familiarity with building and maintaining software-in-the-loop (SITL) or hardware-in-the-loop (HIL) test infrastructure\n \n Experience running Kubernetes on constrained or embedded hardware (e.g., k3s or similar lightweight distributions)\n \n Experience with systemd and Linux system-level service management\n \n Experience deploying, debugging, and testing infrastructure on physical systems in both lab and test site environments\n \n Familiarity with artifact repositories, package management, and secure software supply chain practices (e.g., signed builds, provenance tracking)\n \n Familiarity with government reference architectures or accreditation processes relevant to fielding software on DoW systems\n \n Active Secret U.S. security clearance\n \n  \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 m","salary_min":166000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["cloud","payments","computer-vision","robotics","gpu","infrastructure"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5260431007?gh_jid=5260431007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-07T18:48:38Z","expires_at":"2026-11-13T16:57:15.929219Z","created_at":"2026-10-14T15:21:01.067408Z","updated_at":"2026-10-14T16:57:15.931988Z","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/0d92accb-86d4-4adc-8cb1-271641d5df4a"},{"id":"2ae35d48-7407-44e6-8494-018145afcd50","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Mission Software Engineer, Mission Systems, Cyber Security","slug":"mission-software-engineer-mission-systems-cyber-security-e61689a1","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 Mission Systems Cyber Security team builds security into the mission software stack from the ground up, rather than treating it as a separate concern bolted on at the end. Our engineers design the architecture that keeps mission-critical systems resilient against compromise while hardening the software and systems that run on our vehicles, building the monitoring and detection capabilities that identify and respond to security events in the field, and ensuring that only trusted, verified software ever makes it onto a vehicle. This work sits at the intersection of software engineering and security so we're looking for strong software engineers who can write code and design systems with security built in.\n REQUIRED QUALIFICATIONS \n \n \n BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.\n \n 2-3+ years of production-grade C++, Rust or equivalent experience in a Linux development environment\n \n Experience designing and building secure software systems\n \n Ability to quickly understand and navigate complex systems and established code bases\n \n Travel up to 30% of time to build, test, and deploy capabilities in the real world\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n Track record of high ownership and bias for action\n \n PREFERRED QUALIFICATIONS \n \n Experience hardening Linux-based systems and reducing attack surface (e.g., disabling unused services, minimizing installed packages, enforcing least-privilege configurations)\n Familiarity with vulnerability scanning and remediation tooling and workflows\n Experience implementing cryptographic key management, secure boot, or code-signing pipelines\n Understanding of system monitoring and anomaly detection approaches for identifying and responding to security events\n Experience designing software architectures that isolate components by trust level or security domain\n Familiarity with identity and access management patterns, such as role-based access control or multi-factor authentication\n Experience deploying, debugging, and testing software on physical systems in both lab and test site environments\n Exposure to government reference architectures or compliance frameworks (e.g., STIGs, NIST security controls)\n Knowledge of embedded or safety-critical systems and how security constraints interact with real-time or resource-constrained environments\n Active Secret U.S. security clearance\n \n  \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 ","salary_min":166000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["robotics","computer-vision","cloud","payments","gpu"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5260387007?gh_jid=5260387007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-07T18:43:54Z","expires_at":"2026-11-13T16:57:15.924136Z","created_at":"2026-10-14T15:21:01.062814Z","updated_at":"2026-10-14T16:57:15.926903Z","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/2ae35d48-7407-44e6-8494-018145afcd50"},{"id":"837f380f-cd9b-4105-97a6-3167f9b4d751","company_id":"a4de8095-cb98-4b8b-9bfc-c2d248f257ea","title":"Staff Data Scientist","slug":"staff-data-scientist-4fcb1aa8","description":"At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.  \n If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. \n At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.\n If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.\n THE WORK\n We're looking for a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company.\n In this role, you'll partner with product and business leads to frame the most important questions, set the analytical bar, and ensure decisions across surfaces rest on a consistent, thorough foundation. You'll operate as a force multiplier -- solving the hardest problems, building the frameworks others reuse, and leveling up data scientists across teams.\n WHAT YOU'LL DO\n \n Be the DS tech lead across multiple product and business teams: setting methodological standards and unblocking the hardest analytical problems across areas including Payments, Stablecoin \u0026 Custody products.\n Partner with product and business leads to define analytics strategy : shaping which initiatives to invest in, what success looks like, and how we'll know.\n Build the scientific frameworks Ripple reuses at scale : product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces.\n Pioneer AI-accelerated analytics : applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS partners.\n Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity, surfacing the causal drivers behind adoption and volume.\n Define and communicate the metrics leadership runs on : translating complex results into clear narratives for Ripple executives and external stakeholders.\n Raise the bar for the DS function through thought leadership and mentorship across embedded teams.\n \n WHAT YOU'LL BRING\n \n 8+ years in data science or quantitative analysis, with a track record of senior level impact across multiple teams.\n Demonstrated technical leadership across cross-functional teams , influencing roadmaps and strategy at both executive and execution levels.\n Proven experience designing reusable analytics and measurement frameworks that scale across products.\n Hands-on experience applying AI to accelerate analytics workflows (agentic analysis, AI-assisted insight generation, natural-language data interfaces).\n Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment.\n Expertise in Python or R, fluency in SQL, and experience with large-scale data tech (Databricks, Airflow, dBT a plus).\n Experience with FinTech, payments, crypto, or blockchain data is a strong plus.\n Advanced degree (MS, PhD) in a quantitative field preferred.\n Exceptional communication skills — able to turn technical depth into executive-ready narratives.\n For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. \n CA Annual Base Salary Range\n $212,000 — $265,000 USD \n \n WHO WE ARE: \n Do Your Best Work \n \n The opportunity to build in a fast-paced start-up environment with experienced industry leaders \n A learning environment where you can dive deep into the latest technologies and make an impact.  A professional development budget to support other modes of learning. \n Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify wit","salary_min":212000,"salary_max":265000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["healthcare","fine-tuning","payments","llm","agents","data-science"],"apply_url":"https://ripple.com/careers/all-jobs/job/8260181?gh_jid=8260181","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-07T16:55:15Z","expires_at":"2026-11-13T16:59:24.161998Z","created_at":"2026-10-14T15:22:56.23564Z","updated_at":"2026-10-14T16:59:24.165197Z","company_name":"Ripple","company_slug":"ripple","company_logo_url":"https://www.google.com/s2/favicons?domain=ripple.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/837f380f-cd9b-4105-97a6-3167f9b4d751"},{"id":"356e36d4-6723-43f7-9fce-9b722536c08a","company_id":"52f44519-9f93-4eac-ae0b-8be13e385ebe","title":"Partnerships Manager - Alexandria","slug":"partnerships-manager-alexandria-c26f4e99","description":"PARTNERSHIPS MANAGER - ALEXANDRIA\n\n\n\nAlexandria is the knowledge library we launched in September 2026 alongside our $75M Series B. It gives AI agents one way to discover sources, see what they hold, and retrieve from them: official data providers, publishers, research and government indexes, and the live web. The people who supply that knowledge get paid based on agent demand. Alexandria is three weeks old, and agents are already asking for hundreds of sources nobody has brought online yet.\n\nThe supply side is a team of one today. You'll be the first hire on data partnerships, working with the Head of Data Partnerships and the Alexandria engineers. This is supply-side deal work, not channel partnerships and not reselling. You own two motions: the providers who come to us, and the long tail of sources agents want, taken from first conversation to a listing agents call every day. You own outcomes, not a queue: which sources come online, how fast, and on what terms. As the catalog and the team scale, you grow into owning a provider category outright, and the team that works it.\n\n \n\nSalary Range: $174,000–$199,000 USD/year\n\nEquity Range: Competitive equity. Details shared during the process.\n\nLocation: Location: San Francisco, CA (SF HQ). Hybrid, onsite 3+ days a week.\n\nJob Type: Full-Time\n\nExperience: 3+ years\n\nWork Authorization: Open to candidates already authorized to work in the US. We also support H-1B transfers, F-1 OPT and STEM OPT, TN (Canada and Mexico), and E-3 (Australia). We’re not able to sponsor new H-1B visas for candidates outside the US.\n\n\n\n\nABOUT FIRECRAWL\n\nFirecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data. It's the boring-hard problem everyone building with LLMs eventually hits, solved.\n\nIn September 2026 we raised a $75M Series B led by Smash Capital, and we're spending it building the largest repository of knowledge in the world. We hit 8 figures in ARR in year one and more than doubled it in year two. We have 183k+ GitHub stars, putting us in the top 50 repositories of all time, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.\n\nWe're a small team punching far above our weight, working out of SF HQ and our new Toronto Hub. Everyone here owns a real piece of the product and company, end to end, and runs it themselves. No hiding behind process or headcount.\n\nThis is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web. That library is called Alexandria, and it starts now.\n\n\n\n\nWHAT YOU'LL DO\n\n - Run the inbound queue. Own the Alexandria waitlist and the partnerships inbox. For each one: is it supply at all, which partner type, how many agents want it, who holds the rights, and is a partnership the right way to bring it online. Decide what becomes a deal, what waits, and what we pass on, and say why.\n\n - Call the technical evaluations. Decide when a source needs one before signature, and run it with the Alexandria engineers when it does.\n\n - Work the outbound target map by agent demand. Our usage data says which sources agents request and can't get. That decides who you go after first.\n\n - Run outreach at volume, with research behind every touch. Reach the partnership owner, not the sales desk. Keep a real pipeline: every deal in a named state, with an owner and a next step.\n\n - Qualify fast. Who holds the rights, whether redistribution is on the table, and whether there's a deal at all, before anyone spends a call on it.\n\n - Pitch principal to principal. Paid, attributed access to agent demand they can't reach on their own.\n\n - Negotiate the deal. Commercial terms, attribution, usage and redistribution rights, pilot scope. The framework says what's normally on the table; you decide what to trade, what to hold, and when a provider is worth going outside it, bringing in the Head and counsel when it is.\n\n - Run provider calls with the questions that matter. Precedent, the gate to yes, rights scope, carve-outs, reporting shape, pilot scope, and the signing path.\n\n - Hand off clean. Every signed provider lands with the Alexandria product engineer carrying everything the listing needs: what the source holds, the endpoints or corpus, the commercial terms, what the terms let the gating enforce, and the provider's technical contact.\n\n - Keep the board honest. Economics and rights captured on every deal past the first conversation, so the live and signed counts mean what they say.\n\n - Sit in on flagship deals. The Head of Data Partnerships carries the big publisher deals; you'll be in the room.\n\n - Feed the product. Bring back what the deals teach: where the catalog has gaps, what makes","salary_min":174000,"salary_max":199000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["payments","llm","agents","data-pipeline"],"apply_url":"https://jobs.ashbyhq.com/firecrawl/9a284886-3a06-4ac4-9e24-64eb1759c312/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-07T16:25:17.51Z","expires_at":"2026-11-13T17:00:14.085141Z","created_at":"2026-10-14T15:23:48.961843Z","updated_at":"2026-10-14T17:00:14.088777Z","company_name":"Firecrawl","company_slug":"firecrawl","company_logo_url":"https://www.google.com/s2/favicons?domain=firecrawl.dev\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/356e36d4-6723-43f7-9fce-9b722536c08a"},{"id":"1fc06577-10ed-4c0e-9ff4-7109de64bb51","company_id":"a0000000-0000-0000-0000-000000000001","title":"Product Manager, Billing","slug":"product-manager-billing-36e0c8fe","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n As a Product Manager in the Internal Products and Technologies organization, you'll partner with Engineering, Design, Growth, Trust \u0026 Safety, Support, and Finance to build the billing experiences every Claude customer uses, from the first purchase to the monthly invoice:\n \n We own how customers buy and manage Claude: choosing and changing plans, viewing invoices, tracking usage and spend, and setting spend controls.\n Your work reaches everyone who pays for Claude: individuals upgrading a plan, teams adding seats, developers buying credits, and enterprise admins managing budgets across thousands of users.\n You'll define how Claude should explain a charge, change a plan, or set a spend limit for a customer. You'll also define how admins set spend controls for the agents their teams run.\n You'll own billing experiences that convert well, resist abuse, and let customers resolve billing questions on their own.\n \n Responsibilities \n \n Deeply understand customers across segments (consumers, developers, teams, and enterprise admins) and where billing friction costs us conversion, trust, or support volume.\n Partner with Growth on purchase, upgrade, and plan-change flows, balancing conversion against clarity and long-term customer trust.\n Partner with Trust \u0026 Safety to stop abuse of Claude plans and credits without adding friction for legitimate customers.\n Design agentic billing experiences: Claude answering billing questions, resolving common issues, and taking billing actions, with a confirmation step wherever a mistake would cost the customer money.\n Partner with Engineering and Design so every Claude product gives customers the same clear way to buy, upgrade, and manage spend.\n Drive product strategy and roadmap, synthesize competing stakeholder needs, and communicate prioritization clearly to senior leadership.\n \n You may be a good fit if you: \n \n Have 7+ years of product management experience, including self-serve purchase, subscription, or billing experiences.\n Have shipped self-serve experiences where you owned conversion and retention metrics and ran experiments to move them.\n Have strong product design instincts, and can make a confusing concept like proration, overage, or credits clear on a single screen.\n Have built LLM-powered or agentic product features, and have a point of view on when an agent should act on its own and when it should ask first.\n Are equally credible discussing system design with engineers, abuse patterns with Trust \u0026 Safety, and funnels with Growth.\n Are comfortable making tradeoffs between growth, risk, and financial accuracy, and explaining them clearly.\n Are scrappy and resourceful, and do what it takes to get things done.\n \n Strong candidates may have: \n \n Shipped customer tools for usage-based or hybrid pricing (seats, usage, credits), such as usage dashboards, spend limits, and alerts.\n Worked with Trust \u0026 Safety or risk teams to prevent abuse of plans, credits, or free trials.\n Launched a product in new countries, including local pricing, tax, and currency.\n Built self-serve help experiences that measurably reduced billing support contacts.\n Scaled through hypergrowth (10x+ revenue).\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $385,000 — $460,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of th","salary_min":385000,"salary_max":460000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","agents","llm","alignment"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5434361008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-07T14:32:26Z","expires_at":"2026-11-13T16:54:55.967599Z","created_at":"2026-10-14T15:17:22.387227Z","updated_at":"2026-10-14T16:54:55.970345Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1fc06577-10ed-4c0e-9ff4-7109de64bb51"},{"id":"389d3ac4-8c7f-4b52-810b-b05aeea8f4a8","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Senior, ML Engineer - Tracking","slug":"senior-ml-engineer-tracking-7090ab8b","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. \n 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. \n 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 Accurate and highly available information about other actors and objects is fundamental to the safe operation of autonomous trucks. Core capabilities depend on accurate tracking estimates to ensure safe and efficient vehicle behavior. \n The Tracking Team develops the ML models, state estimation algorithms, and production software responsible for associating and estimating the kinematics of other actors and objects in real time. Our solutions fuse information from multiple sensors and maintain robust performance despite sensor imperfections, environmental challenges, and system degradation. As part of this team, you will develop and deploy production-ready tracking solutions and help solve the challenges of bringing autonomous vehicle technology to real-world commercial applications. \n What You'll Do  \n \n Design, develop, and deploy production ML models for mulit-object tracking, including association, learned pose and kinematic estimation, and sensor fusion using camera, LiDAR, radar, and other vehicle sensors.   \n \n \n Develop scalable training and evaluation workflows using PyTorch, distributed training infrastructure, and large-scale real-world datasets.   \n \n \n Design and improve tracking and sensor fusion algorithms for robust vehicle pose and kinematics   \n \n \n Analyze large-scale vehicle data to characterize performance, identify failure modes, and drive model and system improvements.   \n \n \n Develop robust, efficient production software in modern C++ and Python across the full development lifecycle.   \n \n \n Define evaluation, verification, and validation strategies to ensure Tracking quality, robustness, and safety across diverse operating conditions.   \n \n \n Make technical design and architecture decisions, balancing model performance, computational efficiency, robustness, and production constraints.   \n \n \n Collaborate with perception, mapping, planning, controls, and platform teams to deliver integrated autonomous driving capabilities.   \n \n \n Provide technical leadership through design reviews, code reviews, mentoring, and development of engineering best practices.   \n \n   What You'll Need to Succeed  \n \n Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 6+ years of relevant industry experience, or a Master’s degree with 3+ years of relevant industry experience, or a PhD with 1+ year of relevant industry experience.   \n \n \n Experience with AV or robotics perception systems (tracking, detection, SLAM, scene modeling, ect.).   \n \n \n Strong experience developing and deploying ML models for perception, localization, or sensor fusion domains.    \n \n \n Proficiency with PyTorch and modern ML tooling for training, inference, and optimization.    \n \n \n Solid understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals.    \n \n \n Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation.   \n \n \n Strong software engineering fundamentals in Python and C++, including algorithms, data structures, testing, debugging, and performance optimization.   \n \n \n Strong written and verbal communication skills and the ability to work effectively on cross-functional teams.   \n \n   Bonus Points  \n \n Experience with state estimation techniques such as factor graphs, Kalman filtering, nonlinear optimization, or related probabilistic estimation methods.   \n \n \n Familiarity with distributed computing tools such as Ray, Kubernetes, or similar orchestration frameworks.    \n \n \n Knowledge of embedded and real-time constraints for on-vehicle deployment.    \n \n \n Experience in simulation, synthetic data generation, and uncertainty-aware ML modeling.    \n \n \n Contributions to open-source robotics, perception, or ML frameworks.    \n Familiarity with functional safety standards and automotive development processes, including ISO 26262.   \n \n  \n Perks of Being a Full-time Torc’r \n 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, ","salary_min":177300,"salary_max":212800,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","autonomous-vehicles","pytorch","robotics","payments","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8765541002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-06T13:58:16Z","expires_at":"2026-11-13T16:56:17.79822Z","created_at":"2026-10-14T15:20:25.98843Z","updated_at":"2026-10-14T16:56:17.801031Z","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/389d3ac4-8c7f-4b52-810b-b05aeea8f4a8"},{"id":"6c602d86-d419-4ce2-929d-1dbc939432ed","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior Computer Vision Engineer","slug":"senior-computer-vision-engineer-29ad051c","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 Counter Intrusion MSE team develops systems that provide force protection capabilities, monitoring the perimeter of secure areas, land or sea, for approaching people, vehicles, and vessels. We live in a world where security officers are increasingly overwhelmed by sensor data feeds. Our products leverage advanced sensor fusion and autonomy to seamlessly render activity in the environment to Lattice's common operating picture. This relieves operators of our system from a ton of burden and allows our customers to get more done with fewer personnel. Increasingly, Counter Intrusion MLEs are working on projects to bring customers' existing legacy security systems into the Lattice ecosystem. Key to this effort is building scalable software solutions so that we can service many customers without requiring bespoke software for each one. The Counter Intrusion team is responsible for the development, testing, deployment, and sustainment of our family of systems. We work closely with other teams from product, engineering, sales, logistics, operations, and mission success.\n About the Role\n We are looking for a Machine Learning Engineer to apply the latest research to solve our toughest problems. This role will be responsible for owning the whole machine learning stack for the Counter Intrusion team. You will design and train multi-sensor object detection models for perception on edge compute devices that push the boundaries of what's possible with our sensors. You will develop learning algorithms to optimize the behavior of autonomous systems. You will also be responsible for the end-to-end design, implementation, and performance of the ML stack, including the infrastructure for data collection and training. Your work will directly impact Anduril's ability to deliver cutting-edge defense technology, with the opportunity to identify and develop novel ML applications across our product portfolio.\n Responsibilities\n \n Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field\n Develop and maintain core ML pipelines\n Train and deploy deep learning models for real-time applications\n Collaborate cross-functionally with camera, systems and labeling teams\n Curate datasets for evaluating performance and comparing performance trends over time\n Provide technical mentorship to other junior ML engineers\n \n Required Qualifications\n \n MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision\n BS in Computer Science, Machine Learning, Electrical Engineering, or related field\n 6+ years of experience developing, benchmarking and optimizing ML algorithms on large-scale datasets\n Strong Deep Learning and CV background\n Proficiency in C++ development in a Linux environment\n Experience with Python development and deep learning frameworks such as PyTorch, JAX and TensorFlow\n Experience deploying models with TensorRT and ONNX\n Optimize on-device inference and vision kernels across CPU/GPU/NPU\n Track record of developing and deploying CV models from R\u0026D to production\n Experience writing and maintaining automated continuous integration tests\n Knowledge of system profiling and tuning for latency, memory and power efficiency\n Ability to conduct experiments, ablation studies and create highly detailed reports\n Eligible to obtain and maintain a U.S. Secret security clearance\n \n Preferred Qualifications\n \n Experience in one or more of the following:\n \n Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Depth Estimation, Model Pruning and Compression\n \n Experience in one or more of the following:\n \n Visual Odometry, SLAM, Multi-view Geometry, Camera Models, RGB-D and LIDAR Sensor Fusion, Optical Flow\n \n Experience troubleshooting and analyzing remotely deployed software systems\n 1 year of experience in a technical leadership role\n US Hourly 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. Hi","salary_min":220000,"salary_max":292000,"location":"Irvine, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["jax","computer-vision","deep-learning","tensorflow","robotics","pytorch","cloud","payments"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5256999007?gh_jid=5256999007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-05T17:08:54Z","expires_at":"2026-11-13T16:57:16.198459Z","created_at":"2026-10-14T15:21:01.365645Z","updated_at":"2026-10-14T16:57:16.201756Z","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/6c602d86-d419-4ce2-929d-1dbc939432ed"}],"page":1,"per_page":20,"total":1601,"total_is_exact":true,"total_pages":81}