{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","employer_pilot_url":"https://aidevboard.com/verified-interview-pilot","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"candidate_resume_action":{"application_authorized":false,"candidate_charge":0,"endpoint":"https://aidevboard.com/api/v1/candidate/resume-preview","job_id_json_path":"jobs[].id","method":"POST","preview_requires_identity":false,"required_body_fields":["job_id","evidence_bullets"],"requires_explicit_human_review":true,"saved_artifact_protocol":"mcp","saved_artifact_requires_verified_human":true,"saved_artifact_tool":"compile_job_specific_resume","search_requires_identity":false,"status":"available_after_candidate_selects_job","submission_performed":false,"uses_candidate_verified_evidence":true},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"6e489569-b334-49ce-8208-039de04ea5ce","company_id":"6ce2d21e-b00f-4343-9bd0-5ac62ff81431","title":"Research Scientist, RL for Autonomous Planning \u0026 World Modeling  ","slug":"research-scientist-rl-for-autonomous-planning-world-modeling-adc21b92","description":"Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.\n The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. \n In this hybrid role, you will report to a Principal Scientist.\n You will: \n \n Participate in Waymo’s Foundation World Model post-training and evaluation\n Research and develop cutting edge RL and Distillation techniques for Autonomous Vehicle Trajectory Planning\n Integrate emerging research from the broader AI community into Waymo’s internal RL infrastructure, conducting rigorous ablations to identify and scale the most promising methods\n Partner with engineering and research teams across Waymo to share recipes, techniques, and post-training best practices to accelerate our collective know-how\n \n You have: \n \n PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field; with 3+ years of industry or post-doc research experience in Reinforcement Learning or Foundation Models\n Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions\n Proficiency in implementing model training flows in a scalable, distributed and performant manner such as Data parallel, FSDP and other sharding approaches\n A willingness to work with complexity of globally distributed inference infrastructure\n \n We prefer: \n \n PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal learning\n Extensive experience designing and deploying Reinforcement Learning infrastructure, specifically for on-policy learning or alignment with human preferences\n A consistent history of original contributions to the AI community, evidenced by first-author publications at top-tier venues (e.g., NeurIPS, ICLR, ICRA) or maintaining significant open-source ML projects\n Experience with large scale (many-machine) training infrastructure and techniques for inference with large models such as model sharding/tensor-parallel\n \n In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:\n \n Health, dental, vision, life, disability insurance\n Retirement Benefits: 401(k) with company match\n Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment\n Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)\n Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks\n Baby Bonding Leave: 18 weeks\n Holidays: 13 paid days per year\n \n Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process\n The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.  \n Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.  \n Salary Range\n $204,000 — $259,000 USD","salary_min":204000,"salary_max":259000,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["reinforcement-learning","autonomous-vehicles","generative-ai","robotics","research"],"apply_url":"https://careers.withwaymo.com/jobs?gh_jid=8165872","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-30T02:06:16Z","expires_at":"2026-09-29T13:35:05.501784Z","created_at":"2026-08-30T13:35:05.638136Z","updated_at":"2026-08-30T13:35:05.638136Z","company_name":"Waymo","company_slug":"waymo","company_logo_url":"https://www.google.com/s2/favicons?domain=waymo.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/6e489569-b334-49ce-8208-039de04ea5ce"},{"id":"55f8d3f4-58f6-4ca2-9b49-1e84deeaec13","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Triage Automation Engineer","slug":"triage-automation-engineer-90734211","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The role  \n As a Triage Automation Engineer at Wayve , you'll play a key role in scaling our Triage and Detectives workflow through process improvement, tooling, and automation. You'll partner with Triage Specialists and Detective Engineers to turn repeated, manual analysis into reliable, productised automation, including triage bots, behavioural classifiers, and workflow tooling. That reduces manual load and speeds up how quickly we identify, understand, and resolve issues across our test and on-road fleets.\n This is a highly collaborative, detail-oriented role with a direct impact on the safety and efficiency of Wayve's development pipeline.\n Key responsibilities:\n \n Document and measure existing Triage and Detective workflows to identify opportunities for automation and process improvement\n Prioritise improvements based on cost, benefit, impact, and feasibility\n Partner with Detective Engineers to integrate their scripts and tools into scalable, productised workflows\n Work with development, ML, and AI teams to deliver the tooling improvements Triage needs\n Build automation pipelines — including triage bots and behavioural classifiers — that reduce manual load on Triage Specialists\n Validate automation changes and outputs, including the accuracy and reliability of classifications and suggested root causes\n Document newly implemented automations: what they do, how they work, how to use them, known limitations, and expected outputs\n Measure and report on triage quality and throughput to track the impact of automation\n Collaborate with senior management and cross-functional stakeholders to shape the roadmap for business-critical automation\n Willingness to travel domestically and internationally (including trips to our London office)\n \n About you   \n In order to set you up for success as a Triage Automation Engineer at Wayve, we’re looking for the following skills and experience.  \n Essential \n \n 3+ years of experience working with complex systems, ideally within robotics or autonomous vehicles\n Strong scripting and analytical skills (e.g. Python, SQL, Bash/Shell)\n Hands-on experience operating in a remote Linux environment\n Experience building or maintaining data pipelines or notebooks (e.g. Databricks, Jupyter)\n Great communication skills, able to explain complex technical problems to both technical and non-technical stakeholders\n Expertise using issue tracking and configuration management tools such as Jira, Confluence, and Bitbucket/GitLab\n Comfort with ambiguity — able to measure an existing workflow, identify where automation adds value, and scope a sensible solution\n \n Desirable \n \n Experience with web development languages (e.g. HTML, CSS, React, Java) for building internal tooling\n Practical experience with machine learning or classification models (e.g. PyTorch)\n Experience with cloud services (ideally Microsoft Azure)\n Passion for taking research ideas to production\n Track record of promoting statistical rigour and experimental best practice\n Experience working in a fast-moving tech company or startup\n \n This is a full-time role based in our office in Sunnyvale.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $144,500–$183,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n  \n Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. \n We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it t","salary_min":144500,"salary_max":183200,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["autonomous-vehicles","generative-ai","robotics","data-pipeline","pytorch","evaluation"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8756182002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T17:56:55Z","expires_at":"2026-09-29T13:43:31.521698Z","created_at":"2026-08-29T13:44:35.170073Z","updated_at":"2026-08-30T13:43:31.651707Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/55f8d3f4-58f6-4ca2-9b49-1e84deeaec13"},{"id":"37e2e099-d7ce-4a9b-ab49-bb3c0fcdad65","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"AI Systems Engineer","slug":"ai-systems-engineer-bc554f3e","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n Team Overview\n Anduril’s Technical Publications organization supports complex hardware, software, autonomy, and defense systems across multiple divisions, business lines, and programs. The Product Manager, Technical Writing Systems, owns the authoring and publishing platform. This role builds the AI systems that extend that platform so the documentation pipeline handles more work at lower cost and lower latency.\n Role Specifics\n As the Applied LLM Systems Engineer, your mission is to design, build, and operate production AI systems that improve how technical documentation is created, transformed, validated, maintained, and delivered. You will build and maintain AI-assisted authoring, automated publishing, and multi-agent coordination tooling for the Technical Publications pipeline. This is not a prompt-writing role. It is a systems-engineering role for someone who has already delivered production AI systems, understands evaluation and rollback, and knows how to make probabilistic systems useful in enterprise environments with structured content, strict review requirements, security boundaries, and real operational consequences. The right candidate can expand system capability while managing token usage, context efficiency, and cost at scale.\n What You’ll Do\n \n Build production-grade LLM applications for documentation and knowledge-work workflows.\n Design orchestration for multi-step workflows that coordinate models, tools, and deterministic services safely.\n Optimize context management, token usage, caching, and workflow design for cost, latency, and task success.\n Build retrieval, structured-output, and tool-integrated systems that safely interact with enterprise content, source control, issue tracking, and documentation systems.\n Design evaluation frameworks and regression testing for prompts, models, tools, retrieval pipelines, and end-to-end workflows.\n Establish observability, auditability, rollback, and safe failure modes for AI-assisted workflows.\n Work directly with technical writers, illustrators, engineers, and documentation leadership to identify the highest-value places to apply AI and where human judgment should remain primary.\n Preserve provenance between source material, generated output, validation results, and human decisions so outputs remain reviewable, correctable, and attributable.\n \n Required Qualifications\n \n Ability to work on-site in Santa Ana, CA.\n 5+ years of professional software engineering experience, including building and operating production services.\n Direct experience delivering at least one production AI system with measurable adoption by its intended users.\n Experience optimizing cost, latency, and context usage in production LLM or workflow systems.\n Experience designing evaluation, observability, rollback, and failure-handling for nondeterministic systems.\n Strong proficiency in Python and modern API, data, and service-development practices, including software architecture, security boundaries, identity and access management, and data protection.\n Sound judgment about where probabilistic AI is appropriate and where deterministic software or human review is required.\n Must be eligible for Secret and higher security clearance (US).\n In this role, you will be subject to pre-employment and randomized substance screening, as required by the Company.\n \n Preferred Qualifications\n \n Experience designing multi-step orchestration or coordination systems across models, tools, and deterministic services.\n Experience with retrieval-augmented generation, structured outputs, tool calling, or other production LLM workflow patterns.\n Experience integrating AI capabilities into desktop or enterprise applications with limited native APIs.\n Experience in defense, aerospace, manufacturing, robotics, autonomy, aviation, or another regulated environment.\n Familiarity with technical documentation, structured authoring, content management, or comparable documentation-heavy workflows.\n Familiarity with S1000D, DITA, MIL-STD-40051, or comparable documentation frameworks.\n Experience with containerized services, cloud infrastructure, CI/CD, queues, event-driven architectures, or production monitoring.\n US Salary Range\n $191,000 — $253,000 USD \n The salary range for this ro","salary_min":191000,"salary_max":253000,"location":"Santa Ana, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["rag","cloud","llm","robotics","agents","computer-vision","payments"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5225164007?gh_jid=5225164007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T16:09:46Z","expires_at":"2026-09-29T13:37:11.370136Z","created_at":"2026-08-29T13:37:39.72932Z","updated_at":"2026-08-30T13:37:11.505208Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/37e2e099-d7ce-4a9b-ab49-bb3c0fcdad65"},{"id":"aaf7ec32-bbf7-4611-abc5-5e83434d9431","company_id":"63839083-85dd-4aa0-b128-254fc82866e5","title":"Applied AI Security Engineer","slug":"applied-ai-security-engineer-283a59d1","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi is leaning into an AI-native strategy — not just in our trucks, but in how we build, ship, and operate every day. Our teams leverage key AI tools to enhance productivity and efficiency, continuously expanding AI integration across our systems and workflows. That's a huge unlock, and it's moving fast. We're looking for someone to make sure it keeps moving fast safely — by establishing the guardrails and collaborating on the implementation of sandboxes and automations that let people adopt AI with confidence instead of second-guessing themselves. You'll join a small, sharp security team and take primary ownership of AI security controls and considerations across the company. If you've got a developer's instincts, a security mindset, and you're genuinely curious about what these tools can and can't be trusted to do, this role is built around you.\n \nYou will...\n- Audit how AI tools and MCP integrations are currently used across the company, and map where they touch sensitive systems, data, or credentials for the purpose of defining policy.\n- Design and implement layered guardrails - enterprise-level system prompts, scoped permissions, sandboxing patterns - that constrain AI behavior before it ever reaches a user's request.\n- Maintain an inventory of both MCP servers and AI-to-service connections and their data access controls, with a clear model of what each one can access and why.\n- Partner directly with users across the organization to bake secure-by-default patterns into their AI-assisted workflows so that written policy doesn’t just sit on a shelf.\n- Evaluate new AI tools, plugins, and integration requests, and figure out the secure way to say yes.\n- Continuously test and red-team your own guardrails - assume they'll be pushed on, and find the gaps before someone else does.\n- Document guidance and patterns that a non-security audience can actually follow without needing a security background.\n \nQualifications:\n- Bachelor's degree in Computer Science or a related field.\n- Professional software development experience, with solid fundamentals in how services, APIs, and permissions fit together.\n- Hands-on experience using AI coding/productivity tools (Claude, Copilot, Gemini, or similar) in business-critical workflows.\n- Working knowledge of core security concepts — least privilege, sandboxing, trust boundaries, threat modeling basics.\n- Strong communication skills - you work with engineers as a partner.\n \nBonus:\n- Experience with MCP (Model Context Protocol) or similar tool-calling/agent-integration frameworks.\n- Exposure to prompt injection, jailbreaking, or other AI/LLM-specific attack techniques.\n- Background in autonomous vehicles, robotics, or other safety-critical systems\n \n \n","salary_min":118000,"salary_max":168000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"mid","tags":["code-generation","llm","security","autonomous-vehicles","robotics"],"apply_url":"https://jobs.lever.co/waabi/c4559ea4-1912-4d77-a32c-1a32849e86a0/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T18:45:54.224Z","expires_at":"2026-09-29T13:36:11.450611Z","created_at":"2026-08-29T13:36:31.316177Z","updated_at":"2026-08-30T13:36:11.584109Z","company_name":"Waabi","company_slug":"waabi","company_logo_url":"https://www.google.com/s2/favicons?domain=waabi.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/aaf7ec32-bbf7-4611-abc5-5e83434d9431"},{"id":"4c376d37-cd6f-463d-a12e-7f7436246713","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Site Reliability Engineering Manager, Vehicle Software","slug":"site-reliability-engineering-manager-vehicle-software-967fc97f","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The role\n As SRE Manager, you'll build the Vehicle Software SRE team from the ground up — defining its charter, hiring its founding engineers, establishing the operating model, and creating the technical strategy that makes reliability a first-class property of the software running on our vehicles.\n You'll work in a production environment unlike most: a globally distributed fleet of autonomous vehicles operating at the intersection of software, hardware, networking, sensors, and the physical world. Failures are often intermittent, hard to reproduce, and distributed across ownership boundaries. You'll move reliability upstream — from reactive field support to prevention through architecture, automation, observability, and disciplined production readiness.\n You'll embed your team within Vehicle Software, partnering with product teams who retain ownership of what they build while your team provides the reliability engineering, standards, and leverage that help them operate fleet-critical software safely at scale. You'll stay hands-on throughout — writing code, reviewing critical designs, and leading the investigations that matter most.\n The systems you help harden will connect Wayve's AI to physical vehicles and underpin the transition from engineering fleets to commercial operations. Few engineering leadership roles offer this combination of zero-to-one team building, deep systems work, and direct influence on the safety and scalability of autonomous mobility.\n  \n Key Responsibilities\n \n Team building \u0026 leadership : Build and lead a new SRE team from the ground up, staying hands-on as a player-coach on the team's most consequential work.\n Reliability strategy: Own technical direction for vehicle software reliability across deployment, service health, telemetry, and diagnostics; define what production-ready means at Wayve.\n Production readiness: Define SLIs, SLOs, and error budgets for fleet-critical workflows; drive release criteria, automated gates, rollback strategies, and fault-injection practices across Vehicle Software.\n Observability \u0026 tooling: Design and implement the observability and automation that shortens the path from vehicle symptom to root cause, cuts the manual toil between failure and fix, and shapes systems for robustness, recoverability, and debuggability.\n Incident response: Lead investigations into complex failures, ensure every incident produces a durable fix, and strengthen on-call practices and escalation paths across service-owning teams.\n Mentorship \u0026 communication: Mentor engineers and emerging leaders, and give senior leadership the clarity on reliability health, risks, and investment they need to make good decisions.\n \n  \n About you\n Essential \n \n 8+ years building and operating production software systems with strong depth in SRE, production engineering, platform engineering, embedded systems, or robotics, and a recent track record of writing production-quality code and leading architecture reviews across Linux-based, distributed, or hardware-software systems.\n 3+ years in people leadership with a track record of hiring, coaching, and growing engineers across levels while staying actively engaged in coding, design, and code review; experience forming a new team or capability from scratch is a strong plus.\n Proven experience with SLOs, error budgets, production-readiness standards, observability, incident management, postmortems, and toil-reduction programmes, with measurable outcomes to show for it.\n A track record of turning ambiguous, cross-functional problems into clear ownership, sequenced plans, and reliable delivery without relying on formal authority.\n Hands-on experience building production software, automation, and diagnostic tooling in C++, Rust, Python, or Go, with familiarity with CI/CD, release systems, telemetry pipelines, and modern observability tooling.\n Calm and structured during incidents, with clear communication across software, hardware, operations","salary_min":276100,"salary_max":311400,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["autonomous-vehicles","generative-ai","robotics","devops"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8728803002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T20:00:30Z","expires_at":"2026-09-29T13:43:28.958489Z","created_at":"2026-08-26T13:43:37.362178Z","updated_at":"2026-08-30T13:43:29.088912Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4c376d37-cd6f-463d-a12e-7f7436246713"},{"id":"4461ba71-4dc2-4cd0-918d-d948be032e34","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Air Vehicle Lead","slug":"air-vehicle-lead-bf2f2798","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE JOB\n Anduril is seeking a Lead Air Vehicle Engineer to join the Maneuver Dominance team at our Costa Mesa HQ to lead the convergence of technical efforts in developing an advanced airborne platform. This individual will play a pivotal role in shaping the future of vertical flight focusing on air vehicle development and integrating mission autonomy to meet the evolving demands of defense capabilities. Here you will work on core product development for unmanned rotorcraft and complex systems, including but not limited to aircraft configuration, composites, mechanisms, and structures. The role requires high ownership and frequent collaboration with other core disciplines. The ideal candidate would be practical, hands-on, and a self starter. High growth potential is possible as well as additional leadership opportunities.\n WHAT YOU’LL DO\n \n Execute rapid evaluation of engineering concepts across a wide range of aerospace disciplines\n Perform trade studies and physics-based analysis of blue-sky engineering problems\n Advanced design, configuration, implementation of a highly complex advanced air vehicle\n Operate with extreme visibility and exercise a vast level of professional autonomy\n Lead design reviews, run analysis, interface with vendors, define and execute hardware test plans\n Build prototypes, analyze failures, and transition successful projects into production\n Support critical software and hardware demonstrations with customers as needed\n Use first principles physics as a basis for every decision\n Ability to provide input across a variety of technical domains not limited to: aerodynamics, flight dynamics, GNC, aeroelastic, loads and dynamics\n \n REQUIRED QUALIFICATIONS\n \n Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Robotics, Physics , or related technical discipline.\n Minimum of 8 years in technical leadership roles such as Technical Program Manager, Chief Engineer, Lead Engineer, or similarly relevant position.\n Leadership experience in engineering team management and project execution for aerospace or defense sectors.\n Deep experience developing VTOL platforms.\n Broad exposure to aircraft concepts, design layouts, static stability, control architectures and propulsion concepts.\n Demonstrated ability to lead and inspire cross-functional teams, fostering a collaborative environment that drives innovation and project success.\n Strong project management skills, with experience using tools like JIRA and Confluence, and knowledge of Agile and Waterfall methodologies.\n Exceptional communication and stakeholder management abilities, capable of engaging effectively with both technical teams and non-technical partners.\n Knowledge of aircraft design principles, including familiarity with vertical lift, as well as aircraft build and integration, and flight test execution/oversight.\n Hands-on experience with the development and deployment of autonomous systems, particularly in rotorcraft or large UAS.\n Eligible to obtain a U.S. Secret security clearance\n Ability to travel up to 50% depending on the product lifecycle\n \n PREFERRED QUALIFICATIONS\n \n Direct experience with autonomous systems, specifically with the development and integration of rotorcraft or larger UAS.\n Deep familiarity with unmanned aircraft, autonomous systems, robotics, aircraft design.\n Knowledgeable in the nuanced integration of complex systems, such as launched effects, into aerial platforms, ensuring system compatibility and performance.\n An extensive network within the aerospace industry, enabling effective collaboration and leveraging partnerships for product development.\n Familiarity with Defense Acquisition Processes and a clear understanding of key review stages and compliance requirements.\n Relevant professional certifications that underscore a commitment to continuous learning and application of industry best practices.\n Customer-facing experience with a proven ability to lead high-profile programs and navigate complex client relationships with confidence and authority.\n US Salary Range\n $191,000 — $253,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may var","salary_min":191000,"salary_max":253000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["robotics","computer-vision","payments","cloud"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5221660007?gh_jid=5221660007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T19:00:36Z","expires_at":"2026-09-29T13:37:10.804808Z","created_at":"2026-08-25T19:38:27.098212Z","updated_at":"2026-08-30T13:37:10.937489Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4461ba71-4dc2-4cd0-918d-d948be032e34"},{"id":"385357c5-623e-4db0-baf5-06182c0f554f","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Staff Machine Learning Engineer, Emergency Trajectory Models","slug":"staff-machine-learning-engineer-emergency-trajectory-models-f0038f44","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The role  \n As a Staff Machine Learning Engineer in Wayve's AV Core organization, you will lead the technical direction and delivery of a learned emergency trajectory model for low-frequency, high-consequence maneuvers such as evasive steering and emergency braking. You will take the programme from problem definition through modelling, evaluation, integration, and evidence for deployment.\n Emergency maneuvers are rare, high-consequence events that place unusual demands on data, modelling, and validation. The hard problem is not simply to train another trajectory head: it is to define the operating envelope of a specialist model, what evidence shows that it improves outcomes without introducing new failure modes, and how it integrates with the general driving model and surrounding system. You will lead that work across AV Core and with partners across simulation, evaluation, safety, and product engineering.\n  \n Key responsibilities \n \n Set the technical strategy and roadmap for the emergency trajectory model, including its behavioral scope, operating envelope, system interfaces, and measurable acceptance criteria.\n Design and train trajectory-generating policies using the methods best supported by evidence, including behaviour cloning, reinforcement learning, or other sequential decision-making approaches.\n Build a data strategy for rare emergency cases, combining fleet data, targeted mining, simulation, augmentation, and reweighting while controlling coverage gaps and unintended behavior.\n Create rigorous open-loop and closed-loop evaluations for collision avoidance, evasive steering, emergency braking, recovery, robustness, latency, and regressions in nominal driving.\n Lead integration into the shared driving stack, align technical decisions across teams, and raise the bar through architecture reviews, mentoring, and clear communication of risks, trade-offs, and evidence.\n \n About you   \n In order to set you up for success as a Staff Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.  \n  \n Essential  \n \n A track record of staff-level technical leadership: setting direction for ambiguous machine learning programmes, aligning multiple teams, and carrying work from research through production deployment.\n Deep expertise developing learned trajectory-generation or policy models for embodied systems, including architecture design, objective design, training, and empirical validation.\n Hands-on experience with behaviour cloning, reinforcement learning, or related methods, including objective design, distribution shift, robustness, and closed-loop failure analysis.\n Strong machine learning engineering skills in Python and PyTorch, with experience building reproducible training and evaluation systems on large, heterogeneous datasets.\n Exceptional technical judgement and communication: able to make safety-relevant trade-offs explicit, define the evidence needed for decisions, and lead without relying on formal authority.\n \n  \n Desirable  \n \n Experience applying learned models in autonomous driving or robotics, with strong understanding of motion planning, vehicle dynamics, control, or collision avoidance.\n Experience with specialist, fallback, redundant, mixture-of-experts, or model-routing architectures and the interfaces used to select between them.\n Experience mining, generating, or evaluating rare events using simulation and fleet or real-world data.\n Experience deploying learned policies under real-time latency, reliability, and compute constraints; proficiency in C++, CUDA, or systems optimisation.\n Experience with multimodal, transformer-based, diffusion-based, or other generative trajectory or policy models.\n \n This is a full-time role based in our office in Sunnyvale.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and lear","salary_min":336400,"salary_max":370300,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["reinforcement-learning","gpu","robotics","autonomous-vehicles","generative-ai","pytorch","machine-learning"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8747065002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T18:15:27Z","expires_at":"2026-09-29T13:43:29.618384Z","created_at":"2026-08-25T18:31:14.484268Z","updated_at":"2026-08-30T13:43:29.754954Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/385357c5-623e-4db0-baf5-06182c0f554f"},{"id":"2582184d-bb17-483b-ba2f-bb2282d9c08b","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Field Reliability Engineer - Undersea Reconnaissance \u0026 Strike","slug":"field-reliability-engineer-undersea-reconnaissance-strike-0b776e4a","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n Anduril Maritime builds autonomous underwater/surface vehicles: autonomy computers running control and mission logic, payload computers driving sonar and other sensors, surface integration units, and ground control stations. We're past the \"does it work in the lab\" phase - vehicles are in the field, and field vehicles find bugs the lab never does. We need someone whose job, starting day one, is to pick up those bugs and actually close them: reproduce it, find the real cause, fix it, ship it, tell the team what happened.\n To be clear about what this isn't: it's not a ticket-triage-and-forward job, and it's not \"junior dev does the boring work while senior devs build features.\" You'll be shipping real fixes in the real codebase. You're just entering the codebase through \"this broke on a vehicle\" instead of \"here's a clean feature spec.\" Once you've built up cross-subsystem fluency - which this role forces faster than sitting in one subsystem ever would - you move into owning subsystems and roadmap work like anyone else.\n What you'll actually be doing \n \n Take a field-reported anomaly (sensor stopped publishing, mission faulted mid-track, data stream drifted for no obvious reason) and figure out what subsystem it's actually in - not just where it was reported.\n Reproduce it for real. Replay recorded sensor/mission data through the live pipeline, pull it into visualization tooling, don't guess.\n Use the metrics and log infrastructure that already exists (per-service metrics, dashboards, centralized logs) to reconstruct system state at the moment things went wrong, instead of re-running until you get lucky.\n Confirm the fix in a simulated environment first, hardware-in-the-loop where that matters, before it goes anywhere near a real vehicle.\n Write the fix in whatever language the subsystem actually uses - Rust, C++, Python, Go, whatever — with tests, through CI, out through the normal versioned rollout. No special \"triage\" shortcut path.\n Figure out whether the actual problem is a bug, a bad config, or a deployment mismatch, and fix it at the layer where it actually lives instead of patching around it one level up.\n Write down root cause and fix for every issue you close. Not for the paperwork — so we can see, over months, which subsystems keep breaking and which tests we're missing. Help build the on-call/triage runbook this team doesn't have yet.\n Push back to the owning team when the real fix is \"this subsystem needs to change,\" not \"patch the symptom and move on.\"\n \n  What you need to already have \n \n Real experience debugging code you didn't write, under time pressure, with incomplete information. This matters more than which language you know best.\n Enough comfort in at least two of Rust, modern C++, Python, Go to read and fix bugs in them. You don't need to be an expert in all four - you need to not freeze up when you're dropped into one you know less well.\n Systems-debugging instincts: pull logs and metrics, reconstruct what happened, reproduce offline from recorded data instead of only live.\n Some real exposure to observability tooling (Prometheus/Grafana-class metrics, Loki/ELK-class logs) — you should already know how to use this stuff, not learn it here.\n Linux and systems fluency. Bonus if you've touched declarative/immutable OS setups (NixOS-style).\n The ability to write up what actually happened clearly, without padding it out or burying the cause. \"The vehicle did something weird\" is not an acceptable final answer from you.\n Willingness to work close to hardware and sensors even if you've never touched maritime or robotics before. We're not looking for domain background, we're looking for the debugging instinct.\n Willingness to travel 25%+ of the time on average\n \n Nice to have, not required \n \n Robotics middleware, sensor drivers, or real-time data pipeline experience (sonar, radar, lidar, whatever).\n Time in simulation-in-the-loop or hardware-in-the-loop test setups.\n CI/CD and versioned deployment experience for embedded or fleet software.\n Actual on-call or field-support experience for hardware that ships to real users, not just internal tools.\n \n Where this goes \n \n This is a real entry point, not a holding pen. Do this well and you'll know more of the stack than most ","salary_min":166000,"salary_max":220000,"location":"Quincy, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["payments","computer-vision","cloud","data-pipeline","robotics"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5221278007?gh_jid=5221278007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T15:01:43Z","expires_at":"2026-09-29T13:37:14.216413Z","created_at":"2026-08-25T18:28:18.875116Z","updated_at":"2026-08-30T13:37:14.352331Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2582184d-bb17-483b-ba2f-bb2282d9c08b"},{"id":"566091c6-3c18-4106-9957-b985f48485eb","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Mission Software Engineer - Undersea Reconnaissance \u0026 Strike","slug":"mission-software-engineer-undersea-reconnaissance-strike-c9f12e25","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n Anduril Maritime builds autonomous underwater/surface vehicles: autonomy computers running control and mission logic, payload computers driving sonar and other sensors, surface integration units, and ground control stations. We're past the \"does it work in the lab\" phase - vehicles are in the field, and field vehicles find bugs the lab never does. We need someone whose job, starting day one, is to pick up those bugs and actually close them: reproduce it, find the real cause, fix it, ship it, tell the team what happened.\n To be clear about what this isn't: it's not a ticket-triage-and-forward job, and it's not \"junior dev does the boring work while senior devs build features.\" You'll be shipping real fixes in the real codebase. You're just entering the codebase through \"this broke on a vehicle\" instead of \"here's a clean feature spec.\" Once you've built up cross-subsystem fluency - which this role forces faster than sitting in one subsystem ever would - you move into owning subsystems and roadmap work like anyone else.\n What you'll actually be doing \n \n Take a field-reported anomaly (sensor stopped publishing, mission faulted mid-track, data stream drifted for no obvious reason) and figure out what subsystem it's actually in - not just where it was reported.\n Reproduce it for real. Replay recorded sensor/mission data through the live pipeline, pull it into visualization tooling, don't guess.\n Use the metrics and log infrastructure that already exists (per-service metrics, dashboards, centralized logs) to reconstruct system state at the moment things went wrong, instead of re-running until you get lucky.\n Confirm the fix in a simulated environment first, hardware-in-the-loop where that matters, before it goes anywhere near a real vehicle.\n Write the fix in whatever language the subsystem actually uses - Rust, C++, Python, Go, whatever — with tests, through CI, out through the normal versioned rollout. No special \"triage\" shortcut path.\n Figure out whether the actual problem is a bug, a bad config, or a deployment mismatch, and fix it at the layer where it actually lives instead of patching around it one level up.\n Write down root cause and fix for every issue you close. Not for the paperwork — so we can see, over months, which subsystems keep breaking and which tests we're missing. Help build the on-call/triage runbook this team doesn't have yet.\n Push back to the owning team when the real fix is \"this subsystem needs to change,\" not \"patch the symptom and move on.\"\n \n  What you need to already have \n \n Real experience debugging code you didn't write, under time pressure, with incomplete information. This matters more than which language you know best.\n Enough comfort in at least two of Rust, modern C++, Python, Go to read and fix bugs in them. You don't need to be an expert in all four - you need to not freeze up when you're dropped into one you know less well.\n Systems-debugging instincts: pull logs and metrics, reconstruct what happened, reproduce offline from recorded data instead of only live.\n Some real exposure to observability tooling (Prometheus/Grafana-class metrics, Loki/ELK-class logs) — you should already know how to use this stuff, not learn it here.\n Linux and systems fluency. Bonus if you've touched declarative/immutable OS setups (NixOS-style).\n The ability to write up what actually happened clearly, without padding it out or burying the cause. \"The vehicle did something weird\" is not an acceptable final answer from you.\n Willingness to work close to hardware and sensors even if you've never touched maritime or robotics before. We're not looking for domain background, we're looking for the debugging instinct.\n Willingness to travel 25%+ of the time on average\n \n Nice to have, not required \n \n Robotics middleware, sensor drivers, or real-time data pipeline experience (sonar, radar, lidar, whatever).\n Time in simulation-in-the-loop or hardware-in-the-loop test setups.\n CI/CD and versioned deployment experience for embedded or fleet software.\n Actual on-call or field-support experience for hardware that ships to real users, not just internal tools.\n \n Where this goes \n \n This is a real entry point, not a holding pen. Do this well and you'll know more of the stack than most ","salary_min":166000,"salary_max":220000,"location":"Quincy, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["robotics","payments","cloud","computer-vision","data-pipeline"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5221253007?gh_jid=5221253007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T15:01:09Z","expires_at":"2026-09-29T13:37:17.044808Z","created_at":"2026-08-25T18:28:19.025403Z","updated_at":"2026-08-30T13:37:17.180322Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/566091c6-3c18-4106-9957-b985f48485eb"},{"id":"c50734fd-508c-406a-bf60-d6bee6e444b5","company_id":"a0000000-0000-0000-0000-000000000001","title":"Policy Design Manager, Conventional Weapons","slug":"policy-design-manager-conventional-weapons-7a320e38","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 Anthropic's Safeguards organization builds the policies, evaluations, and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll own our conventional weapons work.\n Defining a crisp boundary between acceptable and harmful requests in this domain is difficult, because the underlying components are dual-use: the same capabilities that serve civilian engineering and research can also contribute to a weapons system. Building the threat models, evaluations, and detection systems that hold that boundary is the core of this role.\n Conventional weapons are increasingly defined by software, and the risks reach well beyond firearms: from a model operating a weapons system or writing guidance code, to the weaponization of dual-use platforms. The role spans every weapon class, up to autonomous systems that select and engage targets without human authorization.\n You will help define the line between prohibited weapons development and legitimate research and engineering work, and how to operationalize the distinction. This will include translating technical judgment into principles that engineers can implement and enforcement teams can act on.\n Key responsibilities\n \n \n Own and maintain Anthropic's conventional weapons policy, defining the boundary between the activities our models should and should not support\n \n Build the threat models and evaluations that measure how our models could contribute to weapons development, including the software and autonomy components that define modern weapons systems, and keep them current as the technology and its misuse evolve\n \n Partner with engineering to turn the policy into model guardrails, detection systems, and enforcement tooling\n \n Serve as the subject-matter expert for escalations involving conventional weapons content, including rapid response to emerging risks\n \n Build shared understanding of the policy across product, engineering, legal, and leadership, communicating its reasoning to technical and non-technical audiences\n \n Engage external experts as well as government and industry partners, and translate that engagement into stronger policy and enforcement\n \n Minimum qualifications\n \n \n Have deep, applied expertise in weapons systems and can translate complex technical evidence into sound policy judgments\n \n Experience in a relevant setting, such as a service research laboratory, a defense research or innovation agency, or a company that designs or builds weapons systems\n \n Can write clear, operationally precise policy and explain complex technical topics to non-specialist audiences\n \n Understand the legal frameworks governing weapons and their transfer, and can craft policy that holds up across jurisdictions\n \n Can do rigorous technical analysis of weapons systems using only open sources\n \n Are comfortable with ambiguity and drawn to problems that have no established playbook\n \n Are motivated by preventing misuse without obstructing the legitimate work in the field\n \n Preferred qualifications\n \n \n A working understanding of machine learning and large language model fundamentals\n \n Hands-on engineering experience in a weapons-relevant technical domain, such as systems engineering, robotics and autonomy, guidance/navigation/control, sensors and signal processing, aerospace or mechanical engineering, materials and energetics, or embedded software\n \n Hands-on experience applying arms export controls (ITAR/EAR) or international arms-control regimes\n \n Experience building or evaluating classifiers, including LLM-based ones, and reasoning about precision and recall for rare, high-consequence categories\n \n Trust \u0026 safety or product policy experience at a technology platform\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 $245,000 — $285,000 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 ","salary_min":245000,"salary_max":285000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["robotics","llm","alignment","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5392184008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-22T03:46:05Z","expires_at":"2026-09-29T13:30:25.461375Z","created_at":"2026-08-25T18:26:14.591016Z","updated_at":"2026-08-30T13:30:25.605272Z","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/c50734fd-508c-406a-bf60-d6bee6e444b5"},{"id":"0de3bf04-c0e7-4cad-808a-3b266b247482","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"MSE, Vehicle Software, RUST","slug":"mse-vehicle-software-rust-6adc91e9","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n Air Dominance \u0026 Strike (AD\u0026S) is responsible for autonomous robotics systems like the Fury unmanned fighter jet and the Barracuda family of advanced effects. The AD\u0026S Vehicle Software team is responsible for the software running on these systems. Our senior software engineers collaborate with other engineering disciplines to develop software for vehicle control, networking, sensor integration, and telemetry. We are looking for engineers excited to build the foundational vehicle software stack that supports the wide range of AD\u0026S initiatives, from early concept simulation to first flight to live operations to large scale fleet management.\n REQUIRED QUALIFICATIONS \n \n Eligible to obtain and maintain an active U.S. Top Secret security clearance\n BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.\n 3+ years of production-grade Rust and/or C++ experience in a Linux development environment\n Experience building software solutions involving significant amounts of data processing and analysis\n Ability to quickly understand and navigate complex systems and established code bases\n A desire to work on critical software that has a real-world impact\n Travel up to 20% of time to build, test, and deploy capabilities in the real world\n \n PREFERRED QUALIFICATIONS \n \n Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling \u0026 simulation (M\u0026S) and physical systems\n Developing and testing multi-agent autonomous systems and deploying in real-world environments.\n Feature and algorithm development with an understanding of behavior trees.\n Developing software/hardware for flight systems and safety critical functionality.\n Distributed communication networks and message standards\n Knowledge of military systems and operational tactics\n US Salary Range\n $166,000 — $220,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.\n Please always verify communications: \n \n Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.\n Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . \n \n \n Exercise Caution with Unsolicited Outreach:  If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.\n \n What to Do If You Suspect Fraud:  Should you ","salary_min":166000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["computer-vision","gpu","agents","robotics","payments","cloud","rust"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5218934007?gh_jid=5218934007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T19:48:46Z","expires_at":"2026-09-29T13:37:18.257375Z","created_at":"2026-08-25T18:28:19.086086Z","updated_at":"2026-08-30T13:37:18.392192Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0de3bf04-c0e7-4cad-808a-3b266b247482"},{"id":"c4bf12e8-d3d5-4579-ad68-ed7770dc9043","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Staff Software Engineer, Vehicle Software, C++","slug":"staff-software-engineer-vehicle-software-c-8ad6a6d0","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n Air Dominance \u0026 Strike (AD\u0026S) is responsible for autonomous robotics systems like the Fury unmanned fighter jet and the Barracuda family of advanced effects. The AD\u0026S Vehicle Software team is responsible for the software running on these systems. Our Staff Software Engineers collaborate with other engineering disciplines to develop software for vehicle control, networking, sensor integration, and telemetry. We are looking for engineers excited to build the foundational vehicle software stack that supports the wide range of AD\u0026S initiatives, from early concept simulation to first flight to live operations to large scale fleet management.\n REQUIRED QUALIFICATIONS \n \n Eligible to obtain and maintain an active U.S. Top Secret security clearance\n BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.\n 9+ years of production-grade C++ and/or Rust experience in a Linux development environment\n Experience building software solutions involving significant amounts of data processing and analysis\n Ability to quickly understand and navigate complex systems and established code bases\n A desire to work on critical software that has a real-world impact\n Travel up to 30% of time to build, test, and deploy capabilities in the real world\n \n PREFERRED QUALIFICATIONS \n \n Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling \u0026 simulation (M\u0026S) and physical systems\n Developing and testing multi-agent autonomous systems and deploying in real-world environments.\n Feature and algorithm development with an understanding of behavior trees.\n Developing software/hardware for flight systems and safety critical functionality.\n Distributed communication networks and message standards\n Knowledge of military systems and operational tactics\n US Salary Range\n $220,000 — $292,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.\n Please always verify communications: \n \n Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.\n Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . \n \n \n Exercise Caution with Unsolicited Outreach:  If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.\n \n What to Do If You Suspect Fraud:  Should you e","salary_min":220000,"salary_max":292000,"location":"Boston, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["payments","agents","robotics","gpu","computer-vision","cloud","c++"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5218845007?gh_jid=5218845007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T18:30:29Z","expires_at":"2026-09-29T13:37:29.937413Z","created_at":"2026-08-25T18:28:19.650421Z","updated_at":"2026-08-30T13:37:30.072464Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c4bf12e8-d3d5-4579-ad68-ed7770dc9043"},{"id":"6fac2e89-3ce4-43a4-a922-dbdce6bb74f2","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Global Head of Training","slug":"global-head-of-training-a21d64b3","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The role  \n As Global Head of Training, you'll own the strategy, standards, and operating model for how Wayve trains, certifies, and develops its on-road operational workforce — Vehicle Safety Operators and the teams that support them — across the UK, US, Germany, and Japan. This is a build role: you're accountable for defining the training architecture, building scalable curricula and certification pathways, and proving with data that training is improving readiness, consistency, and safety.\n You'll lead a small, globally distributed team of Regional Training Leads and Training Coordinators, translating a single global standard into training that works in each region's operational reality. You'll own the mechanism that turns operational insights, safety findings, and product changes into rapid training updates, and you're the person accountable for whether operators are truly ready before they're deployed on the road.\n Key responsibilities: \n \n Own global training strategy, standards, and operating model across all geographies.\n Define the training architecture: scalable curricula, onboarding pathways, and certification frameworks for on-road and maintenance operational roles.\n Own operational readiness — ensuring operators meet performance and safety thresholds before live on-road deployment.\n Build and maintain the mechanism for converting product requirements and operational insights into rapid, targeted training updates.\n Establish and own the metrics and reporting that prove training effectiveness, readiness, and adherence — and use that data to prioritise interventions.\n Manage and develop Regional Training Leads, holding them accountable to a consistent global standard while enabling local adaptation.\n Partner cross-functionally with Operations, Product, and Safety to align training outcomes with business and operational needs.\n Own certification and compliance record-keeping standards globally, ensuring accuracy and audit-readiness.\n Balance global standardisation with the flexibility to adapt delivery to regional, regulatory, and market context.\n \n About you  \n You'll thrive in this role if you've built or scaled a training or capability-development function in a safety-critical, operational environment, and you want to own it globally from here.\n Essential: \n \n Significant leadership experience in training, capability development, operations enablement, or workforce readiness, ideally within autonomous systems, mobility, robotics, aviation, defence, logistics, or another safety-critical environment.\n Proven experience building and leading structured training programmes across multiple sites, regions, or countries.\n Demonstrated success designing scalable onboarding, certification, and recurrent training frameworks for operational roles.\n Experience translating operational, product, or safety requirements into practical training content, standards, and readiness criteria.\n Strong track record using performance data, assessments, and operational insight to improve behaviour, consistency, and execution quality.\n Experience working cross-functionally with Operations, Product, Safety, and other senior stakeholders to align training outcomes with business needs.\n Experience leading managers or senior individual contributors, and setting direction for a globally distributed function.\n Strong analytical capability — comfortable working with training and performance data pipelines to identify trends and gaps, and converting insight into metrics, dashboards, and reporting.\n \n Desirable:  \n \n Experience in autonomous vehicles, transport, robotics, logistics, aviation, or defense.\n Familiarity with certification, compliance record-keeping, and audit requirements in a regulated or safety-critical environment.\n Experience managing a mixed workforce of contractors and full-time employees through a transition to FTE.\n \n \n This is a full-time role based in our office in London or Sunnyvale. This ro","salary_min":157600,"salary_max":229200,"location":"London, UK","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["generative-ai","robotics","data-pipeline","autonomous-vehicles"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8737235002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T18:19:25Z","expires_at":"2026-09-29T13:43:24.050097Z","created_at":"2026-08-25T18:31:14.246135Z","updated_at":"2026-08-30T13:43:24.184763Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/6fac2e89-3ce4-43a4-a922-dbdce6bb74f2"},{"id":"8f77e066-b472-49a1-8bb9-60228d4162cf","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Software Engineer, Fleet Management","slug":"software-engineer-fleet-management-a6de8e75","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The role \n As a Software Engineer on our Fleet Management team, you'll build the tools and services that let Wayve's engineers and operators manage a global fleet of autonomous vehicles and data-collection devices. The work spans frontend, backend, APIs, cloud services, and data — covering vehicle health tracking, software and configuration management, and location-based services.\n You'll work alongside more senior engineers, contributing to technical design and taking ownership of features and services end-to-end.\n \n Key responsibilities \n \n Build and maintain full-stack features across Fleet Management services.\n Contribute across frontend, backend, API, database, and cloud service implementation.\n Contribute to technical design discussions and help deliver scalable, maintainable solutions.\n Write well-tested, maintainable, and performant code.\n Review peers' code to support quality, consistency, and shared learning.\n Build and support systems that help Fleet Operations and Engineering monitor vehicle health, configuration, software status, and location.\n \n \n About you \n Essential skills \n \n Professional software engineering experience building full-stack web applications or services.\n Hands-on experience across frontend and backend development, with enough breadth to contribute across the stack.\n Experience designing or working with APIs, databases, schemas, and backend services.\n The ability to deliver clean, tested, maintainable code.\n Familiarity with cloud services, distributed systems, or microservices.\n \n Desirable skills \n \n Experience with React, TypeScript, MUI, Rust, Go, Node.js, Kubernetes, Bazel, or Azure.\n Experience working on fleet management, robotics, autonomy, drone, vehicle, or operational tooling products.\n Experience with scalable backend systems, monitoring, reliability, or high-volume data workflows.\n \n This is a full-time role based in our office Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   \n The reasonably estimated salary for this role ranges from $176,500 to $220,800 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience\n For more information visit Careers at Wayve.  \n To learn more about what drives us, visit Values at Wayve \n Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. \n We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.  \n For more information visit Careers at Wayve.  \n To learn more about what drives us, visit Values at Wayve  \n For US candidates only, please visit E-Verify Notice and Participation and Right to Work \n \n DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process a","salary_min":176500,"salary_max":220800,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["generative-ai","robotics","microservices","distributed-systems","autonomous-vehicles"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8735204002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T18:01:11Z","expires_at":"2026-09-29T13:43:29.144177Z","created_at":"2026-08-25T18:31:14.463105Z","updated_at":"2026-08-30T13:43:29.281163Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8f77e066-b472-49a1-8bb9-60228d4162cf"},{"id":"41d74cb8-e5eb-40fa-8396-d41068ec80f1","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Automotive System Engineer","slug":"automotive-system-engineer-eb519350","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The role  \n As automotive system engineer, you will be responsible for designing the L2/L3 automotive grade system based on our AV2.0 approach. This includes the strategy and the concept of how to embed our fundamentally new autonomy solution in future OEM vehicle infrastructures. You will also engage with our customers and represent our approach and our company in the planning of collaboration projects. \n You will grow with the company and be critical in establishing how we design our system closely with software engineering leads. Our stack includes base software for sensor data processing, neural network execution and diagnostics and robotic functions for vehicle control. \n You will also act as a coach to others towards an automotive grade, requirement based development mindset to help teams deliver automotive grade software. \n Key responsibilities: \n Requirement Definition: \n \n \n Define clear, actionable system requirements for assigned products, whether focused on L2+, L3 automated driving, or ADAS functionalities.\n Collaborate with product managers, software developers, and hardware teams to ensure requirements align with customer and business needs.\n Ensure traceability and alignment of requirements throughout the product lifecycle.\n \n Data Driven Development:  \n \n Create comprehensive scenarios that the system must handle, ensuring it performs reliably in various real-world conditions. Support for selecting and creating such testing scenarios from data corpus and for ensuring that data-driven insights guide system development and testing processes.\n Ensures that scenario definitions are validated and refined through collaboration with multiple teams, aligning with overall business and customer needs.\n \n Support Implementation: \n \n Work closely with software developers to align on data collection requirements, scenarios, KPIs and behaviour specifications\n Work closely with the solutions and architecture teams to develop the system architecture based on the system requirements and customer constraints.\n Oversee and support the integration of solutions into vehicles, ensuring seamless functionality and compatibility.\n \n Hands-On Testing: \n \n Actively test and validate systems in vehicles to gain direct experience and provide firsthand feedback.\n Analyze performance in real-world scenarios, identifying strengths and areas for improvement.\n Define test specifications at the system-level (working with the HIL team) and the vehicle-level integration.\n \n Problem Resolution: \n \n Serve as the first line of support for problem resolution, diagnosing and addressing system issues.\n Collaborate across teams to escalate and resolve complex issues, ensuring timely solutions.\n \n Continuous Improvement: \n \n Provide input on process enhancements and system optimizations based on testing and user feedback.\n Contribute to the continuous evolution of Wayve’s L2+/L3 and ADAS technologies.\n \n \n About you   \n In order to set you up for success as a Systems Engineer at Wayve, we’re looking for the following skills and experience.  \n Essential \n \n Experience: \n \n 5+ years of experience in system engineering, automotive development, or related fields.\n Proven experience in defining and managing requirements for complex systems, preferably in ADAS or automated driving domains.\n Proficiency in requirements management (e.g., Jama, DOORS) and system engineering tools (e.g., MATLAB/Simulink, Enterprise Architect)\n \n Technical Skills: \n \n Strong understanding of automotive systems, including sensors (cameras, radars, etc.), software integration, and vehicle dynamics.\n Experience with system validation and troubleshooting in real-world conditions.\n \n Soft Skills: \n \n Excellent problem-solving skills, with the ability to diagnose and resolve issues effectively.\n Strong communication and collaboration skills, with a proactive and hands-on approach.\n A forward-thinking mindset and experience in implementing disruptive te","salary_min":209700,"salary_max":311400,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["deep-learning","generative-ai","robotics","autonomous-vehicles"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8734183002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T02:48:47Z","expires_at":"2026-09-29T13:43:21.57688Z","created_at":"2026-08-25T18:31:14.125213Z","updated_at":"2026-08-30T13:43:21.712181Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/41d74cb8-e5eb-40fa-8396-d41068ec80f1"},{"id":"567e9ccc-275b-41f9-bbbb-2f9a2837b11e","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Robotics Engineer II","slug":"robotics-engineer-ii-db033019","description":"May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. \n Essential Responsibilities \n \n Train, Integrate and Test Machine Learning models for on-vehicle Autonomy software\n Optimize and Monitor on-vehicle software for maximum reliability and minimum latency\n Coordinate and execute on-vehicle tests to validate performance of Autonomous Vehicle software in real-world scenarios\n Diagnose and root-cause issues reported by commercial operations through the May Field Response process\n Design and oversee data collection strategies to address ML model deficiencies \n Develop tools and visualizations to enable support engineers to analyze performance of behavior and control subsystems from field data\n \n Qualifications and Experience \n Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: \n Required \n \n 2+ years experience with robotics software for physical systems in a commercial environment\n Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)\n Basic understanding of ML model concepts such as training, architectures, and data selection\n Functional understanding of lidar, camera and/or radar perception systems and their hardware interfaces\n Strong programming skills in C/C++/Python in a Linux environment\n Functional proficiency with Software concepts such as memory management, threading, databases and networking\n Familiarity with standard development tools such as git, valgrind, and gdb\n \n Desirable \n \n Familiarity with common Perception, Planning and Foundation model concepts in Autonomous Driving.\n Experience deploying ML models to resource-constrained hardware\n Experience with CUDA and GPU processing techniques\n Proficiency with hard example mining, active learning or dataset composition techniques\n Experience calculating metrics for and evaluating autonomous vehicle models\n Experience building training and evaluation pipelines for large data (\u003e100TB) or large model (\u003e100GB) applications\n \n Physical Requirements \n \n Standard office working conditions which includes but is not limited to:\n \n Prolonged sitting\n Prolonged standing\n Prolonged computer use\n \n \n \n Travel required? -  Minimal: 1%-10%\n \n \n \n \n \n \n \n \n Benefits and Perks \n \n Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. \n Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.\n Rich retirement benefits, including an immediately vested employer safe harbor match.\n Generous paid parental leave as well as a phased return to work. \n Flexible vacation policy in addition to paid company holidays.\n Total Wellness Program providing numerous resources for overall wellbeing   \n \n Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.\n Want to learn more about our culture \u0026 benefits? Check out our  website ! \n May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions","salary_min":130000,"salary_max":155000,"location":"Ann Arbor, MI","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["generative-ai","gpu","healthcare","autonomous-vehicles","robotics"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8734496002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T20:12:21Z","expires_at":"2026-09-29T13:47:54.420086Z","created_at":"2026-08-25T18:33:07.014049Z","updated_at":"2026-08-30T13:47:54.550395Z","company_name":"May Mobility","company_slug":"may-mobility","company_logo_url":"https://www.google.com/s2/favicons?domain=maymobility.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/567e9ccc-275b-41f9-bbbb-2f9a2837b11e"},{"id":"30922887-a8eb-4d71-b922-a837aef04ace","company_id":"4c0fefc3-173a-4227-a823-4d67d3e70ff0","title":"Senior Research Engineer","slug":"senior-research-engineer-9f57f845","description":"Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.\n Our base salary range is $174,240 - $261,360, and in addition we have generous bonus plans to provide a competitive compensation package. \n Who You Are: \n OlmoEarth is growing — more partners, more use cases, and a platform that is evolving quickly. We are looking for a Senior Research Engineer who can collaborate with our partners to tailor the OlmoEarth models to a wide range of specific applications across multiple domains. \n Who We Are:  \n OlmoEarth is an open, end-to-end platform built around a family of foundation models for Earth observation. The platform enables users to create custom fine-tuned models to detect and classify novel geospatial features, handling the full loop: imagery acquisition, annotation, distributed model training and inference, and visualization.\n Our partners span some of the most respected institutions working on wildfire risk, crop mapping, mangrove conservation, and forest protection. OlmoEarth sits within the AI for the Planet group at the Allen Institute for AI, a small, mission-driven team working on conservation, food security, disaster resilience, and climate solutions.\n Learn more: https://allenai.org/olmoearth \n What We Believe \n \n The mission is the point. OlmoEarth exists to put powerful Earth observation tools into the hands of people working on conservation, food security, and climate. Every partner engagement this role supports is connected to that goal. If it matters to you that your day-to-day work adds up to something larger, you are in the right place.\n Good operations are invisible and indispensable. When coordination, documentation, and follow-through are working well, the whole team moves faster and partners have a better experience. This role is the engine behind that.\n Our partners are the signal. We learn what to build and how to improve by staying close to the people using the platform. The feedback, patterns, and friction you surface in this role directly shapes what the team works on next.\n In-person matters. A lot of the best work on this team happens in quick, unplanned conversations between engineering, research, and partnerships. We are mostly in the office because that is where this kind of collaboration happens naturally.\n Say what you think. We make better decisions when people share what they are actually seeing — whether that is a process that is not working, a partner need we are missing, or an idea for doing something differently. Everyone here is still learning, and we like it that way.\n \n Your Next Challenge: \n You will work with partners to deploy OlmoEarth for their use cases. This will require you to move fluidly across the entire OlmoEarth team, working with partners, engineers and researchers. You will make meaningful contributions to all the components of OlmoEarth’s infrastructure (from the finetuning code to model pretraining to our rslearn backend).\n Use case enablement \n \n Collaborate closely with partners to deploy OlmoEarth models in challenging contexts. This will prioritize contexts and partners for which we don’t have immediate solutions or there’s an opportunity to standardize a high quality approach for common use cases.. \n Explore novel use cases for the OlmoEarth models (e.g. post-hoc addition of new modalities, effectively leveraging embeddings in different contexts) which can unlock new use cases and partners.\n \n Partner Communications \u0026 Coordination \n \n As part of model development, maintain communications with key partners to ensure their success using the OlmoEarth platform.\n Communicate  internally  so that partner needs are clearly understood by the OlmoEarth machine learning research, engineering and partnership teams. \n \n Product Improvement and Research \n \n Work closely with the engineering and partnerships  team to feed lessons you learn when deploying models into our infrastructure. This includes improvements to rslearn, OlmoEarth Studio. \n Collaborate with the research team to identify and fix issues with the OlmoEarth models preventing their deployment in specific important applications. \n Continually update our model adaptation approaches to improve model performance for all our partners. This includes updating our fine-tuning approaches, developing recipes for new applications and improving the UI so that modelling trade-offs can be better understood by users. \n Support agent evaluations and development.\n \n What You’ll Need: \n Required\n \n 2+ years of experience deploying machine learning solutions. This covers the full stack of machine learning, including understanding the business case and requirements, training models, and deploying them at scale.\n Technical experience using machine learning tools. This includes fluency in PyTorch, experience debugging traini","salary_min":174240,"salary_max":261360,"location":"Seattle, WA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["pytorch","search","robotics","pre-training","fine-tuning","generative-ai","research"],"apply_url":"https://job-boards.greenhouse.io/thealleninstitute/jobs/8140098","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T18:47:01Z","expires_at":"2026-09-29T13:47:18.072158Z","created_at":"2026-08-25T18:32:53.66843Z","updated_at":"2026-08-30T13:47:18.202634Z","company_name":"Allen Institute for AI","company_slug":"allen-institute-for-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=allenai.org\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/30922887-a8eb-4d71-b922-a837aef04ace"},{"id":"c9b615a5-86d3-46df-8b69-7077643f48b7","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Senior Software Engineer, Fleet Management","slug":"senior-software-engineer-fleet-management-0f7389ca","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The role \n As a Senior Software Engineer on our Fleet Management team, you'll build the platform that lets Wayve's engineers and operators deploy software, monitor vehicle health, and understand what's happening across the fleet in real time. The team also plays a central role in Wayve's robotaxi operations, acting as the interface between our vehicles and the external services that dispatch and manage autonomous rides. These aren't traditional enterprise tools; the software you build connects our engineers and operators directly with vehicles operating on public roads.\n You'll take projects from problem definition through technical design, implementation, deployment, and operation, working directly with Research, Safety, Operations, SRE, and Infrastructure to deliver solutions that scale with Wayve's growing fleet.\n This is an opportunity to join an early-stage team building fleet infrastructure across a global AV fleet and multiple OEM integrations — each with its own configuration, protocols, and engineering challenges. You'll shape how the team works as much as what it builds.\n Key responsibilities \n \n Build reliable distributed services and workflows for deploying software, AI models, and configurations across vehicles that may be intermittently connected; solve for correctness, ordering, and rollback in environments where connectivity is not guaranteed.\n Build and maintain the services that support robotaxi operations — the interfaces and systems that connect Wayve's vehicles to external dispatch services and enable remote autonomous operations at scale.\n Develop scalable services, APIs, and intuitive interfaces that give engineers deep visibility into vehicle state and enable fast, confident diagnosis of issues.\n Build tools and services that enable engineers and researchers to explore and understand large volumes of vehicle telemetry and operational data.\n Develop reporting and analytics tools that track vehicle utilisation, system performance, and mission outcomes, enabling data-driven engineering and operational decisions.\n Design and build systems spanning web applications, backend services, embedded APIs, and cloud infrastructure, taking end-to-end ownership of their quality and evolution in production.\n Write high-quality, well-tested code, contribute to design and code reviews, and help other engineers grow.\n \n About you  \n Essential skills \n \n Significant professional experience building, shipping, and operating production full-stack applications and web services, with strong hands-on depth across the stack: React, TypeScript, and MUI on the frontend; Rust, Go, and Node.js on the backend (Rust is a plus but not required); and Kubernetes, Azure, and Bazel for infrastructure.\n Experience designing, building, and operating APIs and web services, including sound judgement around API contracts, data modelling, service boundaries, reliability, observability, and failure handling.\n A track record of independently owning meaningful projects end-to-end, from problem definition and technical design through implementation, deployment, and production operation.\n Experience with distributed systems and microservice architectures, with an understanding of reliability, consistency, scalability, and failure modes across service boundaries.\n Experience using metrics, logs, traces, and observability tooling to understand production systems and make data-driven decisions.\n Clear communication skills and the ability to work effectively with Product, engineering, and operational teams across the organisation.\n An interest in mentoring engineers, improving engineering practices, and contributing to technical direction.\n \n Desirable skills \n \n Experience with autonomous vehicles, self-driving technology, robotaxi operations, robotics, or connected vehicle fleets.\n Experience building data pipelines, analytics tools, or working with large-scale telemetry data.\n Background in distributed systems, networking, o","salary_min":209700,"salary_max":266800,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["generative-ai","autonomous-vehicles","microservices","cloud","distributed-systems","data-pipeline","robotics"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8732317002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T17:22:28Z","expires_at":"2026-09-29T13:43:28.301959Z","created_at":"2026-08-25T18:31:14.437498Z","updated_at":"2026-08-30T13:43:28.43713Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c9b615a5-86d3-46df-8b69-7077643f48b7"},{"id":"fbd953c7-087c-41ea-bca5-24b67b33e933","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Full Stack Software Engineer, Evaluation Tools","slug":"full-stack-software-engineer-evaluation-tools-055de53a","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The role\n The Evaluation Tools group builds the internal products that accelerate the full AI Driver development loop, from defining a test to debugging model behaviour. Model developers, researchers and QA engineers across Wayve depend on our tools to understand driving performance and scale evaluation to millions of scenarios, and every major model release runs through them.\n You'll join the Search \u0026 Agents squad in Sunnyvale. We build the search, scenario mining and agentic tooling that lets anyone find the right driving scenarios and turn them into tests without writing SQL. Our work is the entry point to a fully agentic development loop: identify an issue → mine for scenarios → build and run a test suite → root-cause the failure → retrain → repeat.\n You'll work across the stack and own features end-to-end: talking to users, shaping ideas, building robust software, and validating impact. Evaluation is an evolving challenge, so you'll also have plenty of opportunity to define new projects as user needs emerge.\n Why this role matters \n \n Make natural language scenario search reliable and self-service, so finding test data no longer depends on scarce SQL and mining expertise\n Take scenario mining from proof-of-concept to production scale, unlocking certification-grade test creation for teams like Validation\n Extend the evaluation MCP so agents can run search-to-test workflows end to end\n Build trust in search and mining results, so teams can make fast, confident decisions grounded in clear evidence\n \n Challenges you will own\n \n Build fullstack features across search, scenario mining, agentic tooling, and the web applications our users work in to curate scenarios and build test suites\n Work directly with users to understand pain points, then define and measure what success looks like (adoption, time saved, reliability) before you build\n Ship high-quality software with strong attention to reliability, performance and maintainability\n Contribute to architectural decisions that scale across the team’s products\n Use AI tools to improve how we build, from speeding up development to refining team workflows and product quality\n \n About you\n In order to set you up for success as a Fullstack Software Engineer at Wayve, we're looking for the following skills and experience.\n Essential \n \n Strong development skills in Python, TypeScript, and JavaScript, with experience using React or similar front-end frameworks\n Strong SQL skills with a solid understanding of database design and optimisation\n Experience designing and building production-level fullstack systems and reliable, high-performance APIs\n Track record of building robust, maintainable systems and applying engineering best practices\n Excellent communication and collaboration skills, including working effectively across time zones\n Comfortable working independently in a fast-paced, high-context, ambiguous environment\n You are a power user of AI development tools and have a mindset for building AI-augmented workflows\n \n Desirable \n \n Experience with search, embeddings or retrieval systems\n Experience with the Databricks platform, and large-scale data processing with Spark or similar\n Experience with job orchestration frameworks such as Flyte\n Experience building agentic or LLM-powered developer tools (e.g. MCP servers)\n Experience building tools for technical users (ML, robotics, infrastructure)\n Experience with scientific data visualisation or complex data interfaces This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,000 to 266,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from ho","salary_min":209000,"salary_max":266000,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","robotics","agents","generative-ai","autonomous-vehicles","evaluation","fullstack"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8733546002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T16:28:42Z","expires_at":"2026-09-29T13:43:23.857644Z","created_at":"2026-08-25T18:31:14.236069Z","updated_at":"2026-08-30T13:43:23.988134Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/fbd953c7-087c-41ea-bca5-24b67b33e933"},{"id":"90971ca5-fcc8-4b69-835c-9a462afd1f5e","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Software Engineer II, MLOps Framework","slug":"software-engineer-ii-mlops-framework-6090a7e5","description":"About the Company   \n At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.   A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.  Now a part of the Daimler family , we are focused solely on developing software for automated trucks to transform how the world moves freight.   Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.   \n Meet the Team   \n As a Software Engineer on the ML Ops Framework \u0026 Conversion team, you will own the pipelines that take models from research to production on edge hardware, including model conversion, compilation, benchmarking, and release. Our team is comprised of engineers with deep expertise in ML and RL frameworks, embedded systems, and autonomous driving — united by a focus on getting models from development into the real world reliably and at scale. The ML Ops Framework \u0026 Conversion team is responsible for the full model conversion process — from architecting TensorRT pipelines to maintaining the model release registry across platforms. In this role, you will work closely with perception and safety teams to ensure every model that ships meets strict latency and accuracy requirements for autonomous trucking. \n What You’ll Do   \n \n Architect and implement model conversion and compilation pipelines using tools such as ONNX, TensorRT, and torch.compile for deployment on edge devices (e.g., NVIDIA Orin).\n Maintain and evolve the model release registry, ensuring traceability and reproducibility across model versions and target platforms.\n Perform rigorous latency benchmarking and model quality parity evaluations to validate that deployed models meet safety-critical performance requirements.\n Compare metrics across platforms to verify accuracy and latency compliance before release.\n Communicate and collaborate with model development teams and broader stakeholders, ensuring your findings translate into reliable, actionable outcomes across the organization.\n \n What You’ll Need to Succeed   \n \n Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 4+ years of experience or;\n Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience.\n Extensive experience with model conversion and compilation pipelines (ONNX, TensorRT, torch.compile) and performing rigorous latency benchmarking and quality parity validation.\n Hands-on experience deploying and testing models on edge hardware (e.g., NVIDIA Orin or similar embedded platforms).\n Experience maintaining a model release registry in a production environment.\n Ability to compare and interpret performance metrics across hardware platforms to validate models against strict latency and accuracy requirements.\n \n Bonus Points \n \n Expertise in model quantization (PTQ, QAT) and mixed-precision inference (INT8, FP8, FP4, BF16/FP16).\n Experience releasing multi-target models across heterogeneous platforms.\n Familiarity with SOTA autonomous driving perception algorithms — temporal 3D object detection, BEV, 3D Occupancy Networks — and multi-modal sensor fusion (vision, LiDAR, radar).\n C++ and/or CUDA kernel development.\n \n Perks of Being a Full-time Torc’r   Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:       \n \n A competitive compensation package that includes a bonus component and stock options   \n \n \n 100% paid medical, dental, and vision premiums for full-time employees   \n \n \n 401K plan with a 6% employer match   \n \n \n Flexibility in schedule and generous paid vacation (available immediately after start date)   \n \n \n AD+D and Life Insurance   \n \n At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.   Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.   \n Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dep","salary_min":139000,"salary_max":166800,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"mid","tags":["mlops","computer-vision","gpu","robotics","payments","autonomous-vehicles"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8728727002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T16:09:33Z","expires_at":"2026-09-29T13:36:08.277033Z","created_at":"2026-08-25T18:27:50.579783Z","updated_at":"2026-08-30T13:36:08.417728Z","company_name":"Torc Robotics","company_slug":"torc-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=torc.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/90971ca5-fcc8-4b69-835c-9a462afd1f5e"}],"page":1,"per_page":20,"total":1125,"total_is_exact":true,"total_pages":57}