{"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":"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":"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":"fd34c611-28f9-40e5-9aeb-f4ba1b279373","company_id":"6ce2d21e-b00f-4343-9bd0-5ac62ff81431","title":"Staff ML Engineer, Foundation Models","slug":"software-engineer-foundation-models-e3613df0","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 This role follows a hybrid work schedule and reports to a Director of AI Foundations. \n You will: \n \n Work on connecting large-scale foundation models with production systems.\n Adapt our foundation models to new sensors, new platforms, and new production requirements.\n Collaborate extensively with other teams to land foundation models to our next-gen platforms.\n \n You have: \n \n Experience in building large-scale systems\n Track record of solving complex system problems\n Track record of successful deliveries through large-scale collaborations\n \n We prefer: \n \n Experience in LLM/VLM related foundation models or systems\n Experience with foundation model post-training\n \n  \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 $251,000 — $310,000 USD","salary_min":251000,"salary_max":310000,"location":"Mountain View, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","reinforcement-learning","autonomous-vehicles","generative-ai","machine-learning"],"apply_url":"https://careers.withwaymo.com/jobs?gh_jid=8152556","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T19:15:00Z","expires_at":"2026-09-29T13:35:10.669553Z","created_at":"2026-08-25T18:27:25.923011Z","updated_at":"2026-08-30T13:35:10.807945Z","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/fd34c611-28f9-40e5-9aeb-f4ba1b279373"},{"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":"433c380c-4e0a-4c7c-a64c-0f0d3bc9f75f","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Engineering Manager, Cloud Infrastructure ","slug":"engineering-manager-cloud-infrastructure-927fa38a","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 Lead a seasoned Platform Engineering team with visibility across the entire engineering organization. This team owns the multi-cloud foundation that every other engineering team builds on, so your decisions and your team's work are felt company-wide. You'll shape how we scale that foundation while keeping quality, cost, and security front and center as the business grows.\n Key responsibilities \n \n Manage a team of Platform Engineers, coaching them to drive strong impact.\n Drive the technical roadmap for cloud infrastructure with the tech lead.\n Own cost visibility and efficiency as cloud usage scales.\n Partner with Security on governance, access, and compliance.\n Balance resourcing against business needs and individual capacity.\n Keep prioritization sharp and processes lean.\n Partner with leadership to sustain a culture of collaboration, impact, and innovation.\n Hire and grow the team, anticipating business needs and pitching investment to leadership.\n Contribute to the day-to-day running of the Software team’s operations and larger collaborative efforts.\n \n About you \n Wayve is scaling fast, and we're looking for someone who's passionate about laying the cornerstone: building the cloud infrastructure foundations and best practices that will support the company for years to come. Here's what will help you thrive as our Engineering Manager, Cloud Infrastructure.\n Essential \n \n 3+ years of experience as an Engineering Manager in software or developer operations.\n Experience balancing project work with support and operational load.\n Passion for developing individual team members.\n Strong roadmap planning, stakeholder management, and cross-team alignment.\n Hands-on experience with a major cloud provider (Azure, AWS, or GCP) at scale.\n Knowledge of infrastructure-as-code (Terraform or similar).\n Familiarity with Linux and container orchestration (Kubernetes or similar).\n BS, MS, or PhD in Computer Science, Engineering, or equivalent experience.\n \n Desirable \n \n Experience operating a multi-cloud environment.\n Knowledge of build systems and modern CI/CD solutions.\n Experience developing in Python.\n \n This is a full-time role based in our office in Sunnyvale and the reasonably estimated salary for this role ranges from $ 276,100 to $ 311,400 , plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.  \n 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. We operate core working hours so you can determine the schedule that works best for you and your team.  \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 ","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","cloud","infrastructure"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8735504002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T18:02:29Z","expires_at":"2026-09-29T13:43:23.01688Z","created_at":"2026-08-25T18:31:14.198023Z","updated_at":"2026-08-30T13:43:23.144308Z","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/433c380c-4e0a-4c7c-a64c-0f0d3bc9f75f"},{"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":"2af68795-5861-40b1-95ce-04d100978f08","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Senior Data Scientist","slug":"senior-data-scientist-e0977b92","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 Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.\n This means you might:\n \n Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success\n Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance\n Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements\n \n About you \n Essential:\n \n 3+ years experience working in a Data Science role.\n Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.\n Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics\n Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats\n Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)\n Well-versed in summarising, visualising and communicating findings in an accessible and compelling way\n Track record of influencing team direction through your findings\n A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.\n Comfortable working asynchronously across time zones with cross-functional partners\n You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.\n \n Desirable:\n \n Practical experience with machine learning (e.g. PyTorch). Passion to take research ideas to production.\n Track record of promoting statistical rigour and experimental best practices in your prior roles.\n Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.\n Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)\n Experience working in a fast-moving tech company or startup.\n \n This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to 266,800, 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 home.   We operate core working hours so you can determine the schedule that works best for you and your team. \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 ","salary_min":209700,"salary_max":266800,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","distributed-systems","pytorch","generative-ai","data-science","evaluation"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8728411002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T20:06:09Z","expires_at":"2026-09-29T13:43:27.258396Z","created_at":"2026-08-25T18:31:14.400233Z","updated_at":"2026-08-30T13:43:27.392293Z","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/2af68795-5861-40b1-95ce-04d100978f08"},{"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"},{"id":"576ca9a6-140e-41cd-9a6e-1cb7fad2b4eb","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Compute Systems Architect - Expeditionary AI/HPC Data Centers","slug":"compute-systems-architect-expeditionary-aihpc-data-centers-957ba189","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE JOB\n Anduril Expeditionary Systems (AES) is building AI Factories and Command/Control centers—specialized, high-performance computing centers designed to process petabyte-scale data and convert it into decisions at machine speed from forward operating bases. These are not traditional data centers. They are air-transportable, power-constrained, hardened systems optimized for AI inference at the tactical edge and deeply integrated with Lattice. We are seeking a High Performance Compute Systems Architect to design and build these tactical AI/HPC data centers from the ground up. This is a new and highest priority role. You will architect the complete electrical infrastructure—compute node selection, power distribution, thermal management, battery backup system, and physical hardening—that enables AI processing in austere, contested, and DDIL (degraded/denied/intermittent/limited) environments. This capability does not exist today as a fielded system. You will define what this category looks like and build systems that will be deployed in some of the most challenging environments on earth. Exact candidate title and leveling to be determined based upon technical acumen, professional experience, leadership ability, and assessed capabilities through the interview process.\n WHAT YOU'LL DO\n \n Own the end-to-end architecture of AI Factory tactical data centers from compute hardware through power architecture, networking, and thermal cooling systems\n Design GPU-accelerated compute clusters optimized for AI inference and training workloads at the tactical edge (NVIDIA H100/A100, AMD MI300, or similar)\n Engineer advanced thermal solutions for high-density compute without traditional data center infrastructure (liquid cooling, immersion cooling, hybrid systems)\n Design air-transportable, modular systems (containerized, palletized, vehicle-mounted) that are rapidly deployable and operationally credible\n Build infrastructure optimized for austere and contested environments—extreme temperatures, limited grid power, SCIF-accreditable, electromagnetic hardening\n Work in tight coupling with Lattice and AI/ML teams to ensure physical infrastructure meets mission-critical software requirements\n Partner with defense customers to translate operational requirements and needs into technical architectures\n Lead prototyping, field testing, and operational validation through military exercises and real-world deployments\n Drive systems from concept through production at scale, working across hardware, software, supply chain, and program teams\n Define standards and best practices for tactical AI compute infrastructure across AES product lines\n \n REQUIRED QUALIFICATIONS\n \n Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related technical field\n 5+ years of experience designing and deploying data center infrastructure, HPC clusters, large-scale compute systems, or tensor / accelerator compute nodes.\n 8+ years of engineering experience designing and deploying electrical products\n Deep expertise in GPU-accelerated computing architecture for AI/ML workloads (NVIDIA, AMD, or similar platforms)\n Strong understanding of power distribution systems for high-density compute including PDUs, power shelves, UPS systems, generators, chillers, power distribution, and energy management\n Experience with thermal management for high-power-density systems—liquid cooling and chiller systems.\n Proven track record building and deploying production infrastructure from concept through operational scale\n Systems thinking ability to optimize across competing constraints (performance, power, thermal, weight, cost, reliability)\n U.S. Person status required (U.S. citizen, permanent resident, refugee, or asylee)\n Ability to obtain and maintain a U.S. security clearance (U.S. citizenship may be required)\n Must be able to travel up to 15% of the time\n \n PREFERRED QUALIFICATIONS\n \n Background in AI/ML infrastructure supporting large-scale inference, computer vision, or autonomous systems\n Experienced with high speed compute infrastructure networking and network topologies\n Familiarity with edge computing architectures, distributed inference systems, or autonomous vehicles\n Background in 3-phase powe","salary_min":146000,"salary_max":222000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["autonomous-vehicles","payments","computer-vision","cloud"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5183431007?gh_jid=5183431007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T21:46:14Z","expires_at":"2026-09-29T13:37:12.426165Z","created_at":"2026-08-25T18:28:18.783368Z","updated_at":"2026-08-30T13:37:12.561796Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/576ca9a6-140e-41cd-9a6e-1cb7fad2b4eb"},{"id":"0dfb8aab-f030-4de8-ae57-e7eae9cdd25c","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Senior Machine Learning Engineer, Vision Models","slug":"senior-machine-learning-engineer-vision-models-b67985dc","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The role \n As a Senior Machine Learning Engineer on Wayve's Measurement team in AI Evaluation, based in our Sunnyvale office, you will build the computer vision and scene understanding models Wayve uses to measure the performance of the Wayve Driver offline. You will adapt technology from our on-vehicle models and Wayve Foundation Models into offline models that understand coverage, mine rare events, and assess driving behaviour, and you will drive their accuracy and generalisation across vehicles, markets, and conditions. Measuring your own models rigorously is part of the work. You will define ground truth and correctness criteria across a complex driving taxonomy, and turn them into automated benchmarks and evidence that our validation pipelines and safety cases can stand on.\n The Measurement team builds and qualifies the scene understanding models Wayve uses to measure driving performance offline, after on-road runs and in simulation. Offline is where the interesting headroom is: more compute per frame, larger foundation models, and access to both past and future temporal context that the vehicle never has. The outputs are mission-critical, directly informing model development decisions and customer deliverables. You will work in a focused, high-impact senior team with strong ownership, access to fleet-scale camera, lidar, and simulation data, and close partners across on-vehicle modelling, evaluation, data curation, and simulation.\n Key responsibilities \n \n Develop the models - build, train, and fine-tune the scene understanding models at the centre of Wayve's offline measurement, adapting on-vehicle architectures and Wayve Foundation Models for offline use.\n Drive accuracy and generalisation - improve model performance across vehicle platforms, geographies, and driving conditions; diagnose failure modes and close the loop on blind spots.\n Exploit the offline environment - use the advantages the vehicle does not have: higher compute budgets, larger model capacity, bidirectional temporal context, and multi-task or joint representation learning.\n Measure what you build - benchmark your models, set quality bars, and use metrics and error analysis to steer the next iteration; treat measurement as the feedback that drives the modelling.\n Make the evidence credible - ensure benchmarked results are statistically defensible and fit to feed validation pipelines at scale and our broader safety cases, across the product portfolio.\n Align priorities and mentor - work day-to-day with on-vehicle modelling, evaluation, data curation, and simulation teams across sites; contribute to strong engineering and modelling practice; mentor others on the team; understand how the team's priorities connect to the wider division..\n \n About you  \n In order to set you up for success as a Senior Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.  \n Essential  \n \n 4+ years in ML engineering, including training and shipping deep learning models in production, comfortable taking ambiguous modelling problems from scoping through to a working solution.\n Hands-on experience training modern computer vision models, including transformer-based and multimodal or VLM architectures for detection, segmentation, classification, or scene understanding, on camera and/or lidar sensor data.\n Experience adapting or fine-tuning large pretrained or foundation models, and training shared representations across multiple tasks or objectives (multi-stage or joint training), including real trade-offs across data and losses.\n Proficient in Python and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices and comfort with large-scale training.\n Strong ownership: research-literate and pragmatic, able to drive a significant modelling workstream with autonomy, collaborate across teams, and mentor less experienced engineers.\n Able to measure your own models: comfortable defining and","salary_min":311850,"salary_max":370000,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["deep-learning","computer-vision","fine-tuning","generative-ai","autonomous-vehicles","pytorch","robotics","distributed-systems"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8728757002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T20:07:14Z","expires_at":"2026-09-29T13:43:27.827274Z","created_at":"2026-08-25T18:31:14.421095Z","updated_at":"2026-08-30T13:43:27.960326Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0dfb8aab-f030-4de8-ae57-e7eae9cdd25c"},{"id":"6aabed50-4dbf-497c-bf63-c12df13dba87","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Lead Machine Learning Engineer","slug":"lead-machine-learning-engineer-d35ab649","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 We are seeking Machine Learning Leaders in the Autonomous Vehicle domain. As part of our team, you will play a critical role in enhancing May’s Machine Learning capabilities both on and off the vehicle, in a commercial large-scale environment with high standards of quality.\n Essential Responsibilities \n \n Design, train and evaluate state of the art models for May’s autonomous driving, simulation and ML Platform stack.\n Leverage emerging techniques in the End-to-End driving, Vision Language Action (VLA), World or Foundation model domains to solve commercial-scale problems.  \n Lead small teams of cross functional Engineers beyond the state of the art.\n Define data balance, training experiment and evaluation practices to train efficiently at petabyte scale.\n \n Skills and Abilities \n Success in this role typically requires the following competencies:\n \n Direct experience architecting \u0026 training VLA, MMLM, or Generative World Models for commercial-scale applications\n Experience composing, processing and characterizing large (\u003e100TB) multi-modal datasets\n Experience analyzing and addressing long-tail failure cases in large models\n Experience leading teams of 2-3 Engineers and communicating technical details to interdisciplinary leadership.\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 Extensive practical experience in one of the following domains:\n \n Vision Language Action Models\n Generative World Models\n Foundation Models in Robotics\n Data Centric AI\n \n A minimum of 4 years of industry experience working on commercial robotics systems.\n A minimum of 1 year mentoring ML Engineers in a commercial or lab environment.\n Master’s degree in Robotics, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation.\n Practical experience handling the “Long Tail” problem in Machine Learning.\n Strong programming skills in Python/PyTorch in a Linux environment.\n Functional understanding of LiDAR, Camera and Radar processing techniques.\n \n Desirable \n \n PhD and/or published research in the described specialty domains.\n Familiar with common post-training techniques.\n Experience deploying models to resource constrained and edge hardware\n Functional understanding of C/C++/CUDA memory and threading models.\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 Travel required? -  Low: 5%-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 ","salary_min":220000,"salary_max":270000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["healthcare","autonomous-vehicles","generative-ai","robotics","pytorch","gpu","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8730957002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T19:14:18Z","expires_at":"2026-09-29T13:47:53.465471Z","created_at":"2026-08-25T18:33:06.96684Z","updated_at":"2026-08-30T13:47:53.592694Z","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/6aabed50-4dbf-497c-bf63-c12df13dba87"},{"id":"7ed7422c-421c-4fee-b478-a18ac174105a","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Principal Machine Learning Engineer, Geometric Vision","slug":"principal-machine-learning-engineer-geometric-vision-81629411","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 Principal Engineer on the Model Foundations team you will  build the geometric vision and 3D foundation models that underpin our autonomous driving systems.You will work at the intersection of large-scale deep learning, geometric computer vision, and real-world robotics, developing models that learn 3D structure and dynamics from fleet-scale sensor data.\n You will be a hands-on technical leader. You will set direction for geometric vision, prototype and train new model architectures, build the data and supervision needed to scale them, and take successful ideas through to deployment on real vehicles.\n Key responsibilities \n \n Design and train 3D foundation models and world models using large-scale driving data.\n Develop model architectures for 3D perception, geometric reasoning, reconstruction, and world modeling across space and time.\n Build scalable data generation and auto-labeling pipelines that produce high-quality geometric supervision from large volumes of sensor data.\n Develop and scale offline SLAM and 3D reconstruction systems and pipelines, using large-scale sensor data to recover accurate trajectories, scene geometry, calibration signals, and geometric supervision for model training and evaluation.\n Develop and apply techniques in multi-view geometry, neural rendering, NeRFs, Gaussian Splatting, implicit 3D representations, and feedforward 3D modeling.\n Explore geometry-aware tokenization and representation learning, including efficient ways to encode and fuse information across cameras, viewpoints, time, and sensing modalities.\n Develop foundation vision models that make effective use of camera, radar, LiDAR, and other sensor data for learning rich representations of the physical world.\n Explore video and generative modeling approaches for learning scene structure, dynamics, and future evolution from driving data.\n Train and evaluate models at scale on distributed compute, rapidly iterating on architectures, objectives, data, and training recipes.\n Develop automated evaluation and ground-truth systems for measuring geometric consistency, reconstruction quality, 3D understanding, and downstream driving performance.\n Optimize and deploy models into production autonomous-driving systems, working across model architecture, inference, and onboard constraints.\n Set technical direction for geometric vision at Wayve and work closely with researchers and engineers across foundation models, perception, simulation, data, sensing, and deployment.\n \n About you   \n In order to set you up for success as a Principal Machine Learning Engineer, Geometric Vision at Wayve, we’re looking for the following skills and experience.  \n Essential  \n \n Deep expertise in 3D computer vision, geometric vision, or 3D machine learning, with experience in areas such as multi-view geometry, neural rendering, reconstruction, implicit representations, or world modeling.\n Strong experience designing, training, and evaluating modern deep-learning models at scale, using PyTorch or a comparable framework.\n Strong mathematical and technical foundations in geometry, linear algebra, probability, optimization, and 3D transformations, combined with excellent software engineering skills in Python and C++\n A track record of taking difficult research problems from idea to working system, including building large-scale data, training, evaluation, or deployment pipelines.\n Principal-level technical leadership: the ability to identify high-leverage problems, set research and engineering direction, make strong architectural decisions, and raise the technical bar across teams.\n \n Desirable  \n \n 3D and geometric vision: multi-view geometry, dense 3D reconstruction, neural fields, NeRFs, Gaussian Splatting, or feedforward 3D models.\n Foundation and world models: large-scale vision pre-training, self-supervised learning, video models, generative models, or learned scene dynamics.\n Geometric data engines: offline SLAM, stru","salary_min":407330,"salary_max":460020,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["computer-vision","robotics","distributed-systems","autonomous-vehicles","pre-training","pytorch","generative-ai","deep-learning"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8724862002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-18T19:30:55Z","expires_at":"2026-09-29T13:43:25.9237Z","created_at":"2026-08-25T18:31:14.335359Z","updated_at":"2026-08-30T13:43:26.052776Z","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/7ed7422c-421c-4fee-b478-a18ac174105a"},{"id":"870c8dc8-5777-448d-8df3-6185edbad22d","company_id":"24cd325c-d323-4000-9270-131ae4b3f35a","title":"Director of Robot Applications and Behavior","slug":"director-of-robot-applications-and-behavior-d95e370a","description":"Burro is the leading robotics company in the world by number of robots working outdoors in the field with real customers. Our mission is to free people from tedious work and solve the critical labor shortages faced by farmers and others that work outdoors. \nTo accomplish our mission, we need a world-class, diverse team where everyone feels comfortable sharing their ideas. With this in mind, we strive to create a work environment where every employee can be themselves and express their perspective – this enables us to deliver the most creative and innovative solutions to problems our customers face. \nHeadquartered in Philadelphia with an office in central California, and backed by top Agtech and autonomy investors, including S2G, Catalyst, Translink, Cibus, FPrime, Toyota Ventures, FFVC, Xplorer, and Radicle, Burro was created to solve the labor shortages facing farmers using robotics. \nBurros can be described as Disney's Wall-E for agriculture and work outdoors, in a 1.0 format.  They function, today, as computer vision based autonomous ground vehicles for carrying, towing, and scouting, and are designed to lay the base for the fully autonomous future of work outdoors.  We have 700+  robots in our growing fleet deployed in paid commercial use within vineyards, nurseries, berries, and beyond, and demand for our product is accelerating, so we are growing our team.  \n \nThe Role\nWe are seeking a Director of Robot Applications and Behavior to lead the team that owns what the robot does and how people interact with it: the behavior stack and state machines that sequence a mission, the integration work that gets new behaviors from simulation onto robots in the field, the backend communication between robot and cloud, the operator UI, and the details that shape how a Burro feels to work alongside, down to what the lights do. The team is five (5) engineers today, with room to grow as the product scales.\nThis team also builds the platform the rest of engineering builds on. Autonomy, Perception, and SLAM ship capabilities; this team turns them into behavior a customer can see and use. That increasingly includes AI running on the robot itself. We are bringing voice models to the edge so a worker in a nursery can talk to a Burro and have it respond without a network connection, and this team owns it end to end: on-device inference, the language understanding that maps a spoken request to a mission, and what the robot does when the model gets it wrong.\nThis is a hands-on director role. You will run the team, and you will also be in the code. This role is designed for a leader who remains deeply committed to technical execution and engineering excellence.\nThe ideal candidate has built and shipped scalable software on real robots or autonomous vehicles, and has managed engineers before. You will sit alongside our directors of Platform and Integration, SLAM, and Perception, and partner closely with Hardware, Product, and Field Operations.\n","salary_min":160000,"salary_max":180000,"location":"Philadelphia, PA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["nlp","autonomous-vehicles","robotics","computer-vision"],"apply_url":"https://jobs.lever.co/Burro/355e0808-b5e1-4cc4-93ac-ca6287c5dcf7/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-17T19:42:23.279Z","expires_at":"2026-09-29T13:46:53.600374Z","created_at":"2026-08-25T18:32:42.947588Z","updated_at":"2026-08-30T13:46:53.735141Z","company_name":"Burro","company_slug":"burro","company_logo_url":"https://www.google.com/s2/favicons?domain=burro.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/870c8dc8-5777-448d-8df3-6185edbad22d"}],"page":1,"per_page":20,"total":547,"total_is_exact":true,"total_pages":28}