{"access":{"advertiser_pricing_url":"https://aidevboard.com/pricing","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","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"41303023-74c2-427a-a577-7f944338c56d","company_id":"545e1785-0a1e-478e-b21c-cb7ffa7e0b88","title":"Senior ML Platform Engineer - AD/ADAS","slug":"senior-ml-platform-engineer-adadas-28cbdd13","description":"Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.\n\nOur work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud \u0026 AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.\n\n\nTEAM\nAt Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. Our work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications.\n\nWHO ARE WE LOOKING FOR?\nThe team is looking for a skilled Software Engineer or Machine Learning Engineer to join the Machine Learning Platform team, and work in close collaboration with and/or embedded in our ML teams to accelerate and scale up our overall ML engineering activities, enabling shipping Perception, Prediction and Planning ML models and our AD/ADAS stack to millions of Toyota customer vehicles. \nWe are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity, and able to leverage cutting-edge technologies to solve real-world problems while also considering ML engineers’ productivity and cost efficiency. We are looking for individuals who exhibit a \"giver\" mindset, consistently seeking opportunities to assist their colleagues while maintaining a strong focus on delivering solutions to production.\n","salary_min":140000,"salary_max":230000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["deep-learning","robotics","autonomous-vehicles","platform"],"apply_url":"https://jobs.lever.co/woven-by-toyota/69482f28-8f96-4509-8b03-cc8de9c85f39/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-15T16:21:59.974Z","expires_at":"2026-08-15T14:16:34.492557Z","created_at":"2026-07-16T14:16:34.622704Z","updated_at":"2026-07-16T14:16:34.622704Z","company_name":"Woven by Toyota","company_slug":"woven-toyota","company_logo_url":"https://www.google.com/s2/favicons?domain=woven.toyota\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/41303023-74c2-427a-a577-7f944338c56d"},{"id":"8e714354-f0cc-4558-b706-5f155771b9bb","company_id":"6ce2d21e-b00f-4343-9bd0-5ac62ff81431","title":"Technical Lead Manager, Machine Learning Runtime \u0026 Serving","slug":"technical-lead-manager-machine-learning-runtime-serving-3bc85bbd","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 Waymo is seeking a senior Technical Lead Manager (TLM) Machine Learning Engineer to guide the technical vision of our core ML infrastructure. In this role, you will actively grow and manage a high-performing team of 6 engineers to deliver Waymo’s next-generation ML ecosystem. This critical work encompasses both the in-vehicle inference engine and the cloud-based serving infrastructure for our foundational models. You will architect scalable, high-performance ML runtime systems that operate across two extreme domains: the highly constrained edge compute environment of autonomous vehicles and our large-scale, offboard data centers.\n You will: \n \n Guide the technical vision of our core ML infrastructure while actively growing and managing a high-performing team of 6 engineers to deliver Waymo’s next-generation ML ecosystem, encompassing both the in-vehicle inference engine and the cloud-based serving infrastructure for our foundational models.\n Architect scalable, high-performance ML runtime systems that operate flawlessly across two extreme domains: the highly constrained edge compute environment of autonomous vehicles and our large-scale, offboard data centers.\n Navigate complex engineering trade-offs, driving feature development that seamlessly balances the strict, real-time latency and memory limits of onboard execution with the high-throughput, highly concurrent demands of fleet-scale cloud serving.\n Spearhead the strategic transition of core ML workloads to a JAX-native runtime architecture, which includes actively extending and modifying underlying ML compilers and runtimes (e.g., OpenXLA/PjRT, TensorRT).\n Partner across organizational boundaries with world-class ML researchers in Perception and Planning to deeply analyze system-level workloads and unlock massive performance gains through hardware-aware compute optimizations.\n Drive systemic performance excellence by designing advanced profiling and benchmarking infrastructure to identify, triage, and eliminate bottlenecks across the entire end-to-end ML software stack.\n \n You have: \n \n B.S. or M.S. in CS, EE, Deep Learning or a related field.\n People management experience, with a proven track record of recruiting, mentoring, and guiding high-performing teams of senior engineers.\n 8+ years of professional software engineering experience architecting, building, and scaling complex ML systems and infrastructure.\n Strong production programming expertise.\n Proven track record of optimizing ML software to maximize the performance of hardware accelerators (e.g., GPUs, TPUs, or custom silicon).\n Hands-on experience developing distributed backend systems that are low-latency, highly concurrent, and fault-tolerant at scale.\n \n We prefer:  \n \n PhD in CS, EE, Deep Learning or a related field.\n Deep expertise in modifying and extending ML software stacks, including compilers, runtimes, or inference engines (e.g., OpenXLA/PjRT, TensorRT, ONNX Runtime, TVM).\n Strong background in building and scaling LLM serving systems, leveraging advanced distributed inference and performance optimization techniques.\n Deep expertise in edge computing and automotive ML deployment, navigating strict power, thermal, and real-time latency constraints to optimize and deploy mission-critical models on resource-constrained embedded hardware.\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":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["deep-learning","llm","autonomous-vehicles","machine-learning"],"apply_url":"https://careers.withwaymo.com/jobs?gh_jid=8062303","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-15T01:09:13Z","expires_at":"2026-08-15T14:05:15.597814Z","created_at":"2026-07-15T14:06:33.079101Z","updated_at":"2026-07-16T14:05:15.721462Z","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/8e714354-f0cc-4558-b706-5f155771b9bb"},{"id":"66be6f1d-738c-4b9b-b07d-4cae69e7b29d","company_id":"a0000000-0000-0000-0000-000000000003","title":"Senior Machine Learning Engineer, Agent Oversight","slug":"senior-machine-learning-engineer-agent-oversight-774633fc","description":"About Scale\n Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust.\n About the Team\n Applied Intelligence Systems team is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like.\n About the Role\n As a Machine Learning Engineer on Agent Oversight, you will drive the end-to-end lifecycle that ensures our production agents perform reliably and improve over time. This includes building observability tools, designing robust evaluation frameworks, and developing improvement loops. Whether scaling infrastructure or researching new improvement methods, you will navigate the entire ML loop while maintaining rigorous technical standards.\n You will:\n \n Build or contribute to observability into agent behavior in production — the signals and instrumentation needed to actually see what an agent is doing, not just whether it succeeded or failed\n Design evaluation methodologies and metrics for agentic applications, and work with the platform to make them run automatically, at scale, across different customer use cases, not just as one-off analyses\n Build, ship, and own ML systems that detect drift, anomalies, or misalignment in production agent behavior — from first prototype through running reliably at scale\n Design and run rigorous experiments to validate model and agent performance improvements before they ship\n Work alongside software engineers on the platform where your work intersects with broader infrastructure — but you’re expected to take your own work from idea to production, not hand it off\n Collaborate closely with product managers, customers, data annotators, Forward Deployed Engineers, and other engineering teams to translate enterprise and government requirements into robust platform capabilities\n Depending on focus, contribute to novel methods and approaches that push the state of the art for agent evaluation and improvement, or focus on building ML systems that hold up reliably at scale in production\n \n Requirements:\n \n 5+ years of experience as an ML engineer or applied scientist, ideally on a production ML or LLM-powered system — not just consuming a third-party ML API within a feature\n Strong grounding in  at least two  of the following:\n \n Building or scaling evaluation, monitoring, or continuous-learning infrastructure for ML/agentic systems\n Design experience for agent systems (architecture, orchestration, tool use)\n Developing new methods, reward models, or model training/fine-tuning approaches\n \n Hands-on experience with LLMs and agent architectures — tool use, planning, multi-agent orchestration\n Comfortable partnering with software engineers to productionize research and experimental work, not just deliver a one-off analysis\n Rigorous approach to experimentation: clear hypotheses, real statistical grounding, and results that hold up under scrutiny\n Track record of collaborating across functions (Product, Forward Deployed Engineering, etc.) to navigate ambiguous requirements and bring them to production\n Gives direct, substantive feedback on designs and code, and takes it the same way — and mentors others as they grow\n \n Nice to have:\n \n Experience building or contributing to RLHF, SFT, or other fine-tuning/RL workflows, reward modeling, or verifiable-reward systems\n Experience with model or systems optimization (e.g., latency, cost, or inference efficiency)\n Published research, open-source contributions, or patents in agentic systems, LLMs, or applied ML\n Experience working in regulated or enterprise contexts\n Track record of taking a novel method from prototype to something running reliably in production, navigating ambiguity along the way\n Experience reviewing others’ technical designs or mentoring engineers at a senior/staff level\n Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career level","salary_min":216000,"salary_max":270000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","reinforcement-learning","agents","generative-ai","autonomous-vehicles","fine-tuning","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4714527005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T20:14:32Z","expires_at":"2026-08-15T14:01:43.524986Z","created_at":"2026-07-15T14:01:47.280877Z","updated_at":"2026-07-16T14:01:43.716585Z","company_name":"Scale AI","company_slug":"scale-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=scale.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/66be6f1d-738c-4b9b-b07d-4cae69e7b29d"},{"id":"96c4b57f-c214-4de0-829c-cda4957c7a17","company_id":"a0000000-0000-0000-0000-000000000003","title":"Senior Software Engineer, Agent Oversight","slug":"senior-software-engineer-agent-oversight-a8682235","description":"About Scale\n Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust.\n About the Team\n Applied Intelligence Systems team is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power Agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like.\n About the Role\n As a Software Engineer on Agent Oversight, you will build the platform infrastructure that lets our production agents be observed, evaluated, and improved at scale. This includes building observability tooling, evaluation harnesses, and the pipelines that connect them to improvement loops. Whether building foundational infrastructure or partnering closely with ML engineers on production workflows, you will own your systems end-to-end while maintaining rigorous technical standards.\n You will:\n \n Design and build core platform capabilities for deploying, monitoring, and evaluating agentic applications in production\n Build reliable APIs and data pipelines that capture agent telemetry, evaluation signals, and performance metrics at scale\n Work alongside ML engineers where platform work intersects with evaluation or improvement systems — bringing enough ML fluency to reason about model behavior, evaluation quality, and improvement loops while owning the software systems that make those workflows reliable\n Own the reliability, scalability, and observability of platform components serving multiple concurrent enterprise and government customers\n Work cross-functionally with product, forward deployed engineering, and customers to translate real-world deployment requirements into platform features\n Build features end-to-end: system design, implementation, debugging, and testing\n Participate in high-velocity experimentation to validate platform capabilities against real customer usage\n \n Requirements:\n \n 4+ years of professional software engineering experience, with strong fundamentals in backend/distributed systems, APIs, and data pipeline design\n Hands-on experience building production software for ML/LLM-powered products or platforms, such as evaluation systems, observability/monitoring, experimentation infrastructure, agent runtimes, model-serving-adjacent services, or telemetry/data pipelines\n Working knowledge of how LLM or ML systems behave in production: evaluation signals, failure modes, prompt/tool-calling workflows, experiment results, data quality issues, and the tradeoffs between offline evals and live customer behavior\n Experience partnering closely with ML engineers or applied researchers to turn prototypes, eval loops, or model-improvement workflows into reliable platform capabilities, without needing to own model training, modeling strategy, or research direction\n Experience building infrastructure or platforms that other engineering teams build on top of (internal platform, developer tools, or similar)\n Track record of taking ownership of features or components end-to-end — from design through production — within a larger platform or system\n Comfortable operating in an ambiguous, fast-changing domain where tooling and best practices are still being defined\n Strong problem-solving skills and the ability to work independently or as part of a tight-knit, cross-functional team\n Excited to work directly with ML engineers and customer-facing teams, including challenging assumptions in designs and metrics when platform behavior, model behavior, and customer needs intersect\n Gives direct, substantive feedback on designs and code, and takes it the same way — and mentors others as they grow\n \n Nice to have:\n \n Deep experience building or maintaining observability, monitoring, or evaluation systems for ML/LLM-powered products in production\n Familiarity with agent architectures — tool use, planning, multi-agent orchestration\n Exposure to MLOps, feature stores, model serving, or experiment infrastructure\n Experience working in regulated or enterprise contexts\n Experience reviewing others’ technical designs or mentoring engineers at a senior/staff level\n Compensation packages at Scale for eligible roles include base s","salary_min":216000,"salary_max":270000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["mlops","autonomous-vehicles","llm","data-pipeline","distributed-systems","agents","generative-ai"],"apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4714509005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T20:12:46Z","expires_at":"2026-08-15T14:01:43.763646Z","created_at":"2026-07-15T14:01:47.543291Z","updated_at":"2026-07-16T14:01:43.880972Z","company_name":"Scale AI","company_slug":"scale-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=scale.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/96c4b57f-c214-4de0-829c-cda4957c7a17"},{"id":"724ab66f-d426-4c39-b31e-1b432c22d253","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Senior Simulation Vehicle Modeling Engineer","slug":"senior-simulation-vehicle-modeling-engineer-9867b4f8","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 At Torc, our simulation teams are building the foundation for AV 3.0 driver-out development and certification. This team serves as the critical technical interface between simulation/modeling and autonomy consumers. By ensuring model fidelity, coverage, and usability, the team plays a vital role in evaluating and advancing autonomous driving software. We support massive-scale, parallel execution for scaled verification and validation (V\u0026V) and high-throughput reinforcement learning (RL) training. Ultimately, we provide the framework and tooling that serves Autonomy, Safety, and Release with shared artifacts, common metrics, and deterministic reproducibility.    \n What You'll Do:   \n \n Develop and own vehicle dynamics models, including high-fidelity truck models that accurately represent longitudinal, lateral, and transient behavior for use in simulation and autonomy validation.  \n Design, develop, and maintain high-fidelity simulation platforms used to validate autonomous driving software in closed-loop evaluation pipelines at scale.   \n Partner with autonomy engineering teams to capture and implement vehicle model requirements that support planning, controls, and system-level V\u0026V activities.   \n Own model capability communication, known limitations, and release notes to enable effective autonomy validation.   \n Ensure vehicle model updates do not regress autonomy V\u0026V system performance by using automated regression frameworks.   \n Execute full software development lifecycle activities primarily in C++ within a Linux development environment and ROS/ROS2 tooling, applying Lean-Agile methodologies.   \n Perform root cause analysis on issues identified during simulation runs and hardware-in-the-loop testing.   \n Participate in designing test plans for data acquisition and telemetry that support field data collection for vehicle model refinement.   \n Support system-level test plans and verification strategies.   \n Communicate progress, design decisions, and blockers clearly at daily stand-ups and design reviews.   \n Build and maintain collaborative relationships with OEM partners and simulation tool vendors to evaluate, integrate, and co-develop simulation capabilities.   \n \n What You'll Need to Succeed:   \n \n Bachelor's Degree in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a related technical field plus 6+ years of relevant experience; or Master's Degree in the above fields plus 3+ years of relevant experience; or  PhD in the above fields plus 1+ years of relevant experience.   \n Proficiency in C++ (primary), Python for tooling and ML integrations, ROS/ROS2, CMake, and Linux.   \n Physics-based modeling of ground vehicles, including longitudinal/lateral dynamics, tire models, and powertrain.   \n Working knowledge of AV autonomy stack architecture—planning, controls, and system integration—to collaborate effectively with autonomy engineering teams and ensure vehicle models meet V\u0026V requirements.   \n Ability to translate vehicle model capabilities and limitations to autonomy engineering teams, and to capture their requirements to inform model fidelity improvement initiatives.   \n Experience with unit, integration, and regression testing, as well as automated validation pipelines and simulation-based performance benchmarking.   \n Expected to drive consensus across simulation, autonomy, controls, and product engineering \u0026 safety teams.   \n Ability to own and maintain key technical systems across multiple repositories and contribute to cross-org architectural decisions.   \n Must operate as an advanced-level professional with wide latitude for independent judgment and minimal supervision.   \n Willingness to mentor and guide engineers within the group and contribute to technical direction within the simulation and autonomy domains.   \n \n Bonus Points!   \n \n Experience with high-fidelity truck \u0026 trailer or heavy-vehicle models.  \n Experience building or extending closed-loop autonomous vehicle simulation environments.   \n Familiarity with scenario-based validation and sim-to-real correlation activities.   \n Familiarity with how learned models (neural networks) consume simulation and vehicle model outputs in autonomy V\u0026V workflows.   \n \n Perks of Being a Full-time Torc’r   \n Torc cares about our team members and we strive","salary_min":160800,"salary_max":193000,"location":"Ann Arbor, MI","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["robotics","deep-learning","payments","reinforcement-learning","autonomous-vehicles"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8624508002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T18:27:34Z","expires_at":"2026-08-15T14:06:21.505391Z","created_at":"2026-07-15T14:07:36.22853Z","updated_at":"2026-07-16T14:06:21.625011Z","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/724ab66f-d426-4c39-b31e-1b432c22d253"},{"id":"71ee758f-16cd-4c69-8fc0-3f12619c37ad","company_id":"6ce2d21e-b00f-4343-9bd0-5ac62ff81431","title":"Staff Machine Learning Engineer, Simulation ","slug":"staff-machine-learning-engineer-simulation-353a3819","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 Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack.\n In this hybrid role, you will report to an Engineering Manager  \n You will: \n \n Report into the TLM for the Learned Metrics Team\n Develop ML models that assess our autonomous vehicle's behavior.\n Develop ML infrastructure to support performant models.\n Collaborate across teams to bring state-of-the-art to production.\n \n You have: \n \n BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience\n 5+ years of experience building productionized ML models\n Code and design skills: comfort building production systems (Python / C++)\n Background in applied Deep Learning\n A track record in improving model quality\n \n We prefer: \n \n 8+ years of experience building productionized ML models\n Experience in reinforcement learning, transfer learning, or learning.\n Experience with large scale data and models\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":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["reinforcement-learning","deep-learning","autonomous-vehicles","robotics","machine-learning"],"apply_url":"https://careers.withwaymo.com/jobs?gh_jid=8056720","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T22:11:43Z","expires_at":"2026-08-15T14:05:13.85177Z","created_at":"2026-07-15T14:06:31.242063Z","updated_at":"2026-07-16T14:05:13.968294Z","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/71ee758f-16cd-4c69-8fc0-3f12619c37ad"},{"id":"7275bf2f-408c-49d7-b90d-3a9476dd880f","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Product Cybersecurity Engineer","slug":"product-cybersecurity-engineer-168adafd","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 Job Summary \n The Product Cybersecurity Engineer is responsible for ensuring security is embedded throughout the product development lifecycle—from architecture and code to deployment and operations. This role integrates security practices into development workflows, manages vulnerabilities in vehicle and autonomous systems, supports compliance with automotive cybersecurity standards, and serves as a cross-functional security expert bridging cybersecurity, hardware, and product engineering teams.\n Essential Responsibilities \n \n Integrate security practices — threat modeling, architecture reviews into product development workflows from requirements through release.\n Provide early security input on hardware, firmware, and software design decisions, including third-party and supply chain risk considerations.\n Write, review, and validate security requirements across hardware and software domains; enforce secure coding standards and perform security analysis on main compute systems.\n Assist with maintaining Software Bill of Materials (SBOM) and Hardware Bill of Materials (HBOM) using dedicated SBOM tooling to ensure component visibility, vulnerability tracking, and supply chain transparency across products.\n Apply security lenses during safety and functional assessments in collaboration with safety, systems, and software teams.\n Assist in proactive vulnerability patching and support secure update strategies using product security tooling for threat modeling and risk profiling.\n Conduct hazard and threat analyses (TARA/HARA) early in the architecture and development lifecycle.\n Analyze and harden the security architecture of vehicle subsystems and autonomous stacks; define system- and product-level security requirements and ensure validation coverage.\n Assist senior level engineers with Ethernet, in-vehicle networking, and cloud interface configuration, including port security and network segmentation.\n Maintain working knowledge of R155/156, ISO 21434 and UL 4600; support internal audits, risk assessments, and compliance documentation.\n Engage with Auto-ISAC to track emerging threats, attack vectors, and industry best practices.\n Work across teams such as cybersecurity, hardware, and product engineering — providing architectural security design feedback.\n Assist with fostering a security-first culture across the organization through integrated best practices and awareness programs.\n Perform additional responsibilities as directed by your manager.\n \n Skills and Abilities \n Success in this role typically requires the following competencies: \n \n Clear written communication and the ability to align stakeholders on security priorities before executing.\n Excellent attention to detail and a rigorous, systematic approach to security analysis.\n Ability to identify complex security problems across hardware, firmware, and software and devise optimal, innovative solutions that often cross organizational boundaries.\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 B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree \n Minimum of [1-3] years of experience in a product cyber security or related role\n Experience performing threat modeling and attack surface analysis \n Experience generating and managing Software Bills of Materials (SBOMs) using industry tooling, with working knowledge of SBOM formats such as SPDX and CycloneDX\n Familiarity with vehicle communication networks and protocols across physical and application layers (CAN, LIN, Ethernet, DBCs), embedded systems interaction, and module security technologies.\n Familiarity with security-relevant services in ISO 14229-1 (UDS)\n Experience in TARA and HARA methodologies; experience applying UNECE WP.29, ISO/SAE 21434, and security standards.\n Ability to clearly communicate findings and collaborate with engineering teams to drive t","salary_min":100000,"salary_max":155000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"mid","tags":["security","healthcare","autonomous-vehicles","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8497183002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T19:42:53Z","expires_at":"2026-08-15T14:18:35.028321Z","created_at":"2026-07-15T14:20:05.63743Z","updated_at":"2026-07-16T14:18:35.14635Z","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/7275bf2f-408c-49d7-b90d-3a9476dd880f"},{"id":"e5f45e3a-eaa5-43b4-acc0-5f2b36b3e1c2","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Director, Autonomy Perception","slug":"director-autonomy-perception-090caf3b","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 Job Summary \n The Director of Perception will be responsible for leading the vision, strategy, and technical roadmap of the Autonomy Perception team at May Mobility.  The Director of Perception plays a key role in advancing May’s core autonomy software stack, ensuring that May’s unique, innovative MPDM architecture operates on high quality data from sensors and sensor processing algorithms.\n This is a unique opportunity to sit at the crossroads of cutting-edge autonomous driving technology, transformative mobility, and the products that enable change in the transportation landscape of cities today.\n This position reports to the Sr. Director of Autonomy and is responsible for providing world class leadership to our autonomy engineering managers and engineers, in order to propel their professional success as they develop industry-leading technology advancements.\n Essential Responsibilities \n \n Be a technical thought leader to champion May Mobility’s mission, vision, values and company priorities to develop and execute autonomy strategy with fellow executives and engineering leaders.\n Work cross-functionally with Vehicle Engineering, Product, and Operations leaders to solve and deploy solutions to autonomy perception challenges.\n Deliver innovative and robust advances to May’s perception technology including measurable improvements to object detection, classification, tracking, and prediction.\n Ensure May’s core perception technologies operate efficiently and effectively in commercial deployments, including supporting effective triage and resolution of issues related to this technology.\n Maintain an understanding of related research fields including machine learning, end-to-end learned systems, tracking systems, multi-sensor fusion, and behavior prediction.\n Lead design and specification of next-generation sensor suites to maximize May’s perception system performance and optimize cost.  Work with systems and hardware teams to support prototyping and evaluating future systems.\n Develop and maintain key performance indicators (KPIs) to track autonomy performance\n Identify key gaps and challenges in May’s autonomy perception technology. \n Construct and execute a roadmap to solve key challenges and work with other autonomy leaders to synchronize this roadmap with the roadmaps of other functions.\n Identify monthly, quarterly and yearly milestones to iteratively improve performance in both the short and long term.\n Take responsibility for the overall planning, execution, and success of complex technical projects and provide the team with technical leadership.\n Help set perception team hiring targets. Interview, hire, and manage a diverse team of talented perception engineers and scientists.\n Oversee the escalation of critical issues and opportunities within the autonomy team’s leadership, driving clear recommendations to maximize the effectiveness of the team with respect to company priorities and strategy.\n \n Skills and Abilities \n Success in this role typically requires the following competencies: \n \n Deep technical knowledge and demonstrated success in delivering innovative solutions in one or more of the fields of multi-sensor fusion, object detection, scene segmentation, tracking, and behavior prediction.\n A demonstrated strong attention to detail with the ability to understand, track, and efficiently mitigate technical, integration, and personnel risks.\n Demonstrated success in working in uncertain work environments with an ability to turn concepts and problems that are uncertain into effective, executable plans to resolve these issues.\n A proven ability to get the best out of others, set goals and expectations for others, communicate clearly and honestly, and discuss difficult topics.\n An ability to clearly and concisely communicate technical concepts including root cause analysis, technical challenges and their solutions, and results backed by data.\n Proven ability to work with other peers in related","salary_min":220000,"salary_max":300000,"location":"Anywhere, USA","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["computer-vision","healthcare","autonomous-vehicles","robotics"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8631724002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T18:29:13Z","expires_at":"2026-08-15T14:18:33.683401Z","created_at":"2026-07-15T14:20:04.118102Z","updated_at":"2026-07-16T14:18:33.806575Z","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/e5f45e3a-eaa5-43b4-acc0-5f2b36b3e1c2"},{"id":"268b8fee-dcaf-4f11-af4e-7d001dba4b5b","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Division Operations Associate - Maneuver Dominance","slug":"division-operations-associate-maneuver-dominance-7e8e1620","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n Anduril’s Maneuver Dominance Division, one of Anduril’s fastest growing divisions, has assembled a diverse team of experts, including aerospace, mechanical, and electrical engineers, alongside software, robotics, artificial intelligence, sensor fusion, and data analysis specialists. Together, we create cutting-edge vehicle-centric hardware and software solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous vehicle systems to tackle the extremely challenging industry demands. Our focus is on delivering advanced tactical unmanned vehicle systems, battlefield intelligence, and flexible ground and air autonomy solutions. We are actively developing and iterating on a portfolio of next-generation vehicle platforms, including Omen, a Group 3 tail-sitter VTOL drone designed for advanced persistent intelligence, surveillance, \u0026 reconnaissance. Through this and other programs, Anduril is executing on substantial contracts to bring these capabilities to our customers. As a rapidly growing division, Maneuver Dominance is not just delivering products; we are building the fundamental enabling technologies that empower our systems with exquisite perception, sophisticated behaviors, and unparalleled capabilities. This deep investment fuels an expanded product portfolio where systems, including Omen and other platforms will form a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the land, air, and tactical domains. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maneuver Dominance Division and help us build the future of defense capability.\n ABOUT THE JOB\n We are looking for a Division Operations Associate to join our rapidly growing Maneuver Dominance Division Operations team in Costa Mesa, CA . In this position, you will be responsible for supporting our internal business lines as well as the entire division. The Maneuver Dominance Division Operations team is a small but mighty team of talented business generalists who enable the division to scale through hyper-growth while breaking as few things as possible. We’re looking for someone to help us build out the business infrastructure required to grow this into Anduril’s largest division over the next few years. Our goal is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation of autonomous systems. \n WHAT YOU’LL DO\n \n Lead various strategic initiatives and special projects, as directed by General Managers and Division Operations Leads, to establish scalable operations across the portfolio, ranging from strategic and international finance, production and supply chain, facilities and real estate, security, etc\n \n Act as the connective tissue between efforts related to the design, development, and implementation of new processes, strategy, and execution plans\n \n Coordinate and prepare for executive leadership meetings, including setting agendas, tracking action items, and ensuring follow-through\n Support internal team operations: new employee onboarding, all hands, internal business reviews, and other division-wide events so that we rapidly ramp new employees and maintain a culture of “doing things differently”\n Support our corporate planning cycle by helping to build out and monitor performance against goals, financial plans, and headcount plans so we can hit our aggressive growth targets\n Establish the operating model and battle rhythm for a rapidly growing team with an emphasis on cross-division coordination and repeatable execution patterns\n \n REQUIRED QUALIFICATIONS\n \n You have 3+ years of experience in consulting, operations, finance, or general business analysis\n You love solving complex, ambiguous, cross-functional problems in a people-centric way\n You’re both high ownership and low ego, approaching everything with strong outcome orientation and high humility\n You get energy from being a thought partner for others and it excites you to spend time translating operational problems into data problems, and to then going and ex","salary_min":112000,"salary_max":149000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["robotics","computer-vision","cloud","autonomous-vehicles","payments"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5185048007?gh_jid=5185048007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T15:53:55Z","expires_at":"2026-08-15T14:07:36.921925Z","created_at":"2026-07-15T14:08:48.518891Z","updated_at":"2026-07-16T14:07:37.056888Z","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/268b8fee-dcaf-4f11-af4e-7d001dba4b5b"},{"id":"072121d0-4400-4ea7-aba5-a62ac7232f44","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Senior Integration Test Engineer","slug":"senior-integration-test-engineer-18eb978c","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 Job Summary \n Senior Integration Test Engineers serve as key stakeholders in the R\u0026D process. This role bridges simulation and on-road testing by validating vehicle system behavior in a controlled lab environment. Senior Integration Test Engineers will focus on both static vehicle-level and HIL testing, replaying real-world drive logs, and documenting system responses. This role is unique in which you will lead testing on HIL bench test setups in addition to static vehicle-level simulated driving.  \n As a Senior HIL Test Engineer, you will work closely with software, hardware, and systems engineers to architect the HIL infrastructure, pioneer new automation processes, and mentor the team in validating safety-critical systems in a fast-paced R\u0026D environment. \n Essential Responsibilities \n \n Lead the development and execution of comprehensive HIL test plans, focusing on the integration of autonomous software with autonomous system hardware \n Perform bench-level testing of sensors and compute modules \n Execute static vehicle-level HIL testing by simulating real-world driving scenarios in a controlled environment \n Execute structured test plans covering functional, regression, and fault-injection scenarios \n Measure and analyze software performance (latency, CPU/memory utilization, throughput) on target hardware to ensure the autonomy stack meets necessary requirements \n Design and implement automated test suites. Integrate HIL test results and automation workflows with cloud computing services (AWS) for scalable data analysis and regression tracking \n Monitor and debug vehicle communications \n Partner with Autonomy and Systems Engineering teams to define validation requirements and translate complex edge cases into repeatable HIL test cases. \n Ensure all anomalies are thoroughly documented. Champion product quality by contributing to acceptance criteria and safety-critical validation metrics \n \n Skills and Abilities \n \n Proven ability to construct and maintain HIL test environments \n Static vehicle-level or chassis dynamometer test experience \n Deep understanding of CAN networks and vehicle communication protocols \n Proficiency with Ethernet protocols (UDP and TCP)  \n Experience with CAN bus analysis tools (e.g., Intrepid Vehicle Spy, Vector CANoe/CANalyzer) \n Strong command of Linux environments for system configuration, log manipulation, and troubleshooting \n Expertise in Test Case Automation and scripting to reduce manual testing overhead \n Ability to prioritize complex deliverables and pivot testing strategies as autonomy software evolves \n Strong ability to translate low-level hardware bugs into actionable insights for high-level software teams \n Experience integrating test automation with cloud computing services (AWS) \n \n Qualifications and Experience \n Required \n \n Bachelor's degree in an applicable engineering field \n 5+ years experience testing complex safety-critical systems involving software, firmware, and/or hardware, preferably in an automotive context \n Direct experience with Hardware-in-the-Loop testing and system-level validation \n Valid driver’s license and clear driving record \n \n Desirable \n \n Master’s degree in an applicable engineering field \n Experience testing ADAS vehicles or autonomous robotic systems \n Cloud Operations: Experience using AWS for data storage, compute, or CI/CD integration \n Coding: Proficiency in Python or C++ for creating test scripts and data analysis tools \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: 0%-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 Account","salary_min":100000,"salary_max":125000,"location":"Ann Arbor, MI","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","healthcare","autonomous-vehicles","robotics"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8631044002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T13:56:05Z","expires_at":"2026-08-15T14:18:35.650791Z","created_at":"2026-07-15T14:20:06.277699Z","updated_at":"2026-07-16T14:18:35.768769Z","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/072121d0-4400-4ea7-aba5-a62ac7232f44"},{"id":"394498a7-3e09-4b7d-9dc4-98c2d5cce6a3","company_id":"ccb23d77-c69e-462b-a941-02ce99527e78","title":"Software Engineer I (Data Eng infra)","slug":"software-engineer-i-data-eng-infra-ce880ce9","description":"Who we are \n Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.\n The Aurora Driver  will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.\n  \n At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit  aurora.tech  or follow us on  LinkedIn .\n  \n What we are looking for \n Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. \n We are seeking a talented and experienced Software Engineer to join our data engineering and infrastructure team. In this role, you will be working with our seasoned engineers and contribute to the design, development, and maintenance of our data platform, building the scalable and reliable systems that enable our organization to leverage data for insights and product innovation. You will work on the core data lake and data warehouse ecosystem infrastructure, data pipelines, and tools that process data at massive scale, ensuring it is accessible, high-quality, and secure.\n In this role, you will \n \n Design, build, and maintain robust and scalable data pipelines and ETL/ELT processes to ingest, transform, and load data from various sources into our data warehouse.\n Develop and manage data infrastructure components using AWS cloud services and infrastructure-as-code tools like Terraform.\n Collaborate with data scientists, analysts, autonomy engineering teams and product teams to understand their data needs and build solutions that meet their requirements.\n Optimize data processing systems for performance, reliability, and cost-efficiency.\n Implement monitoring, alerting, and logging for data pipelines and infrastructure to ensure operational stability.\n Champion best practices in data governance, data quality, and security.\n \n Required Qualifications \n \n Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.\n 1+ years of recent professional experience in software engineering, with a focus on data-related projects.\n Proficiency in at least one programming language commonly used for data engineering (e.g., Python, Go or C++).\n Preliminary experience with big data processing frameworks like Apache Spark, Flink, Kinesis Data Stream, or similar technologies.\n Hands-on experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., S3, Redshift, BigQuery, Glue).\n Strong knowledge of SQL and experience working with relational and NoSQL databases.\n Preliminary knowledge of data analytics infrastructure, including data transformation tools such as DBT and visualization frameworks and tools\n Experience with building and managing data pipelines using an orchestrator like Apache Airflow.\n Able to systematically approach open-ended questions to identify pragmatic data solutions that scale\n Able to work effectively in a highly cross-functional, fast-moving and high-stakes environment\n Proven ability to communicate technical, data-driven solutions to both technical and non-technical audiences across stakeholders\n \n Desirable Qualifications  \n \n Experience with data warehousing solutions like Snowflake or data lake architectures.\n Familiarity with modern data stack tools and practices.\n A passion for building elegant, scalable, and maintainable systems.\n Experience using Amazon Web Services (AWS) tools\n \n The base salary wage range for this position is $116K-$174K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. \n  #LI-SP1 \n Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.\n We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.\n Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom .\n Our commitment to safety \n At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at ","salary_min":116000,"salary_max":174000,"location":"Mountain View, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["data-pipeline","autonomous-vehicles","cloud","data-science","infrastructure"],"apply_url":"https://aurora.tech/jobs/8628066002?gh_jid=8628066002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T13:24:28Z","expires_at":"2026-08-15T14:05:24.523638Z","created_at":"2026-07-15T14:06:40.845277Z","updated_at":"2026-07-16T14:05:24.669605Z","company_name":"Aurora Innovation","company_slug":"aurora-innovation","company_logo_url":"https://www.google.com/s2/favicons?domain=aurora.tech\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/394498a7-3e09-4b7d-9dc4-98c2d5cce6a3"},{"id":"536847ab-380b-4023-a67d-e6f42968d89e","company_id":"ccb23d77-c69e-462b-a941-02ce99527e78","title":"Senior Software Engineer (Data Engineering and Infrastructure)","slug":"senior-software-engineer-data-engineering-and-infrastructure-fbb63209","description":"Who we are \n Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.\n The Aurora Driver  will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.\n  \n At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit  aurora.tech  or follow us on  LinkedIn .\n  \n What we are looking for \n Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are seeking a talented and experienced Software Engineer to join our data engineering and infrastructure team. In this role, you will be a key contributor to the design, development, and maintenance of our data platform, building the scalable and reliable systems that enable our organization to leverage data for insights and product innovation. You will work on the core data lake and data warehouse ecosystem infrastructure, data pipelines, and tools that process data at massive scale, ensuring it is accessible, high-quality, and secure.\n In this role, you will \n \n Design, build, and maintain robust and scalable data pipelines and ETL/ELT processes to ingest, transform, and load data from various sources into our data warehouse.\n Develop and manage data infrastructure components using AWS cloud services and infrastructure-as-code tools like Terraform.\n Collaborate with data scientists, analysts, autonomy engineering teams and product teams to understand their data needs and build solutions that meet their requirements.\n Optimize data processing systems for performance, reliability, and cost-efficiency.\n Implement monitoring, alerting, and logging for data pipelines and infrastructure to ensure operational stability.\n Champion best practices in data governance, data quality, and security.\n Work closely with other senior team members and management to improve the data ecosystem toolings, refine user experience, and continuously polish team roadmap.\n \n Required Qualifications \n \n Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.\n 5+ years of professional experience in software engineering, with a focus on data-related projects.\n Proficiency in at least one programming language commonly used for data engineering (e.g., Python, Go or C++).\n Solid experience with big data processing frameworks like Presto/Trino, EMR, Apache Spark, Flink, Kinesis Data Stream, or similar technologies.\n Hands-on experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., S3, Redshift, BigQuery, Glue).\n Strong knowledge of SQL and experience working with relational and NoSQL databases.\n Intermediate knowledge of data analytics infrastructure, including data transformation tools such as DBT and visualization frameworks and tools\n Experience with building and managing data pipelines using an orchestrator like Apache Airflow.\n Able to systematically approach open-ended questions to identify pragmatic data solutions that scale\n Able to work effectively in a highly cross-functional, fast-moving and high-stakes environment\n Proven ability to communicate technical, data-driven solutions to both technical and non-technical audiences across stakeholders\n \n Desirable Qualifications  \n \n Experience with AI toolings, LLM and agentic frameworks\n Experience with data warehousing solutions like Snowflake or data lake architectures.\n Familiarity with modern data stack tools and practices.\n A passion for building elegant, scalable, and maintainable systems.\n Experience using Amazon Web Services (AWS) tools\n \n The base salary range for this position is $146K-$234K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. \n  #LI-SP1 \n Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.\n We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.\n Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom .\n Our c","salary_min":146000,"salary_max":234000,"location":"Pittsburgh, PA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","data-pipeline","cloud","llm","autonomous-vehicles","infrastructure","data-science","data-engineering"],"apply_url":"https://aurora.tech/jobs/8628064002?gh_jid=8628064002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T13:23:27Z","expires_at":"2026-08-15T14:05:24.307008Z","created_at":"2026-07-15T14:06:40.677939Z","updated_at":"2026-07-16T14:05:24.454033Z","company_name":"Aurora Innovation","company_slug":"aurora-innovation","company_logo_url":"https://www.google.com/s2/favicons?domain=aurora.tech\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/536847ab-380b-4023-a67d-e6f42968d89e"},{"id":"90b670fb-c16e-4406-9cd7-c2e700e6570a","company_id":"c0136eba-1fff-477a-8968-c5435a645cd3","title":"Senior AI Infrastructure Engineer - Model Training","slug":"senior-ai-infrastructure-engineer-model-training-1ae1d299","description":"Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.\n Kodiak's AI is only as good as the speed at which we can train it. Every improvement to our models – from GigaFusionNet to large-scale world models – depends on infrastructure that turns thousands of hours of multimodal driving data into training throughput. We are looking for engineers who make model training fast: streaming massive camera, LiDAR, and radar datasets without stalling a single GPU, sharding data and models efficiently across nodes, and extracting every FLOP from the latest hardware. If you measure your impact in tokens per second and GPU utilization, this role is for you. In this role, you will: \n \n Design high-throughput data loading and streaming systems for multimodal sensor data (camera, LiDAR, radar), including dataset formats, sharding strategies, and prefetching pipelines that keep GPUs saturated \n Build and optimize distributed training infrastructure across multi-node GPU clusters, applying data, tensor, pipeline, and fully sharded (FSDP/ZeRO) parallelism to models that don't fit on a single device \n Maximize utilization of modern accelerators such as NVIDIA B200s through mixed-precision training (BF16/FP8), fused kernels, memory optimization, and communication/computation overlap \n Profile end-to-end training pipelines to find and eliminate bottlenecks across storage, network, CPU preprocessing, and GPU compute \n Develop scalable dataset construction pipelines that convert petabytes of raw driving logs into training-ready, streamable formats \n Partner with ML teams to scale new architectures from prototype to full-cluster training runs efficiently and reliably \n \n What you’ll bring: \n \n BS, MS, or PhD in Computer Science or a related field, and at least 2-3 years of industry experience in ML systems or infrastructure \n Hands-on experience with distributed training frameworks and techniques (PyTorch DDP/FSDP, DeepSpeed, Megatron, NCCL) and a strong grasp of parallelism trade-offs \n Experience building high-performance data pipelines for large-scale training, including streaming dataset formats (WebDataset, MosaicML Streaming/MDS, or similar), sharding, and storage/network-aware loading \n Deep understanding of GPU performance: mixed precision, memory hierarchy, kernel fusion, profiling tools (Nsight, PyTorch Profiler), and interconnects (NVLink, InfiniBand) \n Strong Python skills and proficiency in PyTorch internals; systems-level experience (C++/CUDA/Triton) a plus \n Passion for building the infrastructure that lets AI for the physical world train faster, scale further, and improve continuously \n \n What we offer: \n \n Competitive compensation package including equity and annual bonuses \n Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits) \n MetLife Legal Services, Identity \u0026 Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, \u0026 Critical Illness Insurance \n Flexible PTO, 10 paid holidays, and generous parental leave policies \n Our office is centrally located in Mountain View, CA \n Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging \n Long Term Disability, Short Term Disability, Life Insurance \n Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)  \n Fidelity 401(k) \n Commuter, FSA, Dependent Care FSA, HSA \n Various incentive programs (referral bonuses, patent bonuses, etc.) \n The pay range listed below reflects the base salary  in our SF/Silicon Valley location,  across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package\n California Pay Range\n $190,000 — $260,000 USD \n  \n At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status,","salary_min":190000,"salary_max":260000,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","robotics","data-pipeline","gpu","pytorch","distributed-systems","machine-learning","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/kodiak/jobs/4310775009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T16:07:51Z","expires_at":"2026-08-15T14:09:12.860026Z","created_at":"2026-07-10T14:08:04.242712Z","updated_at":"2026-07-16T14:09:12.9833Z","company_name":"Kodiak Robotics","company_slug":"kodiak-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=kodiak.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/90b670fb-c16e-4406-9cd7-c2e700e6570a"},{"id":"9cb51051-fb08-47c1-a84d-e0937ebe010e","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Principal Engineer Tech Lead, Embodied AI \u0026 Off-Board Performance Evaluation","slug":"principal-engineer-tech-lead-embodied-ai-off-board-performance-evaluation-50d09b91","description":"Mission Summary: \n Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.\n The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.\n We are seeking a talented Principal Engineer to technically oversee the design, development, and deployment of a novel Embodied AI and Large Language Model (LLM)-based monitoring framework for off-board scenario understanding, intelligence evaluation, and root cause analysis. While this role will pioneer future off-board Vision-Language-Action (VLA) integrations for off-board analysis, it requires strong foundations as an Autonomous Vehicle Performance Metrics developer.\n You will lead the creation of a specialized, off-board evaluation layer that consumes AV drive logs and fleet data to automatically infer scenario safety and assess driving intelligence without running live on the vehicle. Your architectural designs will integrate with internal systems to form a complete pipeline that identifies safety incidents, enriches them with structured context, and conducts detailed root cause analysis to provide the Autonomy team with actionable direction. If you are an innovative individual contributor with a passion for overseeing the integration of complex, scalable data pipelines and state-of-the-art Embodied AI frameworks, we encourage you to apply. \n What You'll Be Doing: \n \n Embodied AI \u0026 LLM Framework Oversight: Technically oversee the architecture to identify, describe, and enrich events in historical vehicle logs using Multimodal LLMs.\n Multi-Modal Data Fusion: Oversee the off-board ingestion and fusion of semantic scene descriptions, ego-centric kinematics, and internal autonomy telemetry to create a holistic diagnostic context for LLM inference.\n Prompt Engineering \u0026 Model Integration: Develop structured prompting templates utilizing Contextual Prompting (CP), Chain-of-Thought (CoT), and In-Context Learning (ICL) to evaluate scenarios.\n AI Inference \u0026 Evaluation Scalability: Architect the integration of foundation models into the Metrics Engine (ME), designing efficient cascade filtering and log slice parallelization strategies to scale high-volume LLM inference across simulation and on-road drive logs while managing computational latency and costs.\n AV Performance Metrics Foundations: Define, design, and implement key metrics to evaluate autonomous vehicle performance, such as lane change capability, oscillations, and braking.\n Driving Policy Integration: Deploy and manage a Retrieval-Augmented Generation (RAG) vector database containing codified AV Driving Policies to ground off-board LLM evaluations in specific Operational Design Domains.\n Cross-Functional Technical Leadership: Serve as a technical escalation point and collaborate with Autonomy (Planner, Prediction, Perception) and Systems teams to deliver high-signal, enriched events.\n Advanced Physical AI R\u0026D: Drive the transition toward Direct Vector-LLM Fusion utilizing emerging Physical AI ecosystems and open-weights Vision-Language-Action (VLA) models to process telemetry off-board without text-translation bottlenecks. \n \n What We're Looking For: \n \n 10+ years of professional experience in software engineering, applied AI/ML, or autonomous vehicle systems development.\n Bachelor's degree in Computer Science, Engineering, Robotics, or a related field.\n Proven experience working with Large Language Models (LLMs) and Vision-Language Models (VLMs) for reasoning, parsing, and scene description.\n Experience with parameter-efficient fine-tuning and deploying open-weights models on internal infrastructure.\n Familiarity with local and cloud vector databases, such as LanceDB, for housing output vector embeddings.\n Experience with adversarial scenario generation and closed-loop simulation environments.\n Strong background leveraging software to develop frameworks, libraries, and tools for calculating and aggregating AV performance metrics.\n Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation.\n Expert-level proficiency in Python and strong understanding of software development principles. \n \n Bonus Points (not required): \n \n Experience working with autonomous vehicle sensor data, including its processing and in","salary_min":200000,"salary_max":275000,"location":"Las Vegas, Nevada, United States","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["data-pipeline","llm","embeddings","fine-tuning","rag","autonomous-vehicles","cloud","robotics"],"apply_url":"https://motional.com/open-positions/?gh_jid=7799673003#/7799673003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T14:10:04Z","expires_at":"2026-08-15T14:06:45.689849Z","created_at":"2026-07-10T14:05:50.099596Z","updated_at":"2026-07-16T14:06:45.813343Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9cb51051-fb08-47c1-a84d-e0937ebe010e"},{"id":"ea933b5d-c732-402c-bd2a-5aff99b45796","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Senior, ML Engineer - VLM","slug":"senior-ml-engineer-vlm-fc80da79","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.   \n Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.   \n Meet The Team   \n Torc is marching toward its AV 3.0 strategy, where end-to-end Vision-Language-Action (VLA) models perceive, reason, and act directly from sensor data. High-quality, semantically rich training data is the single biggest lever for that strategy, and this team owns it.   \n Sitting within Offline Perception, this team turns petabytes of logged multi-modal fleet data (images, kinematics) into VLM/VLA-ready datasets: geometric annotations, scenario-level semantic descriptions, action- and trajectory-grounded labels, and reasoning traces that explain why a maneuver was taken. We run a continuous data flywheel — mine long-tail and failure cases, auto-label at scale, validate quality, and feed curated datasets directly into Torc’s end-to-end VLM/VLA model development. You will own the dataset layer that those models learn from.   \n What You’ll Do   \n \n Own the offline dataset pipeline — design, implement, test, and deploy Cloud-based pipelines that convert logged multi-sensor data into VLM/VLA training datasets, spanning geometric labels (3D/2D detection, tracking, segmentation, depth) through semantic, scenario-level, and action/trajectory-grounded annotations. \n Build VLM-assisted auto-labeling — develop open-vocabulary detection, dense captioning, semantic enrichment, and scene/scenario description generation that move beyond closed-set bounding boxes, using foundation models to scale annotation and cut manual labeling cost. \n Generate reasoning-grounded labels — produce language-grounded reasoning and chain-of-causation style annotations, temporally aligned to ego-motion and trajectories, to support VLA training and explainable driving behavior. \n Mine and curate the long tail — surface rare, difficult, and high-uncertainty scenarios, and build curated datasets that measurably improve downstream VLM/VLA model metrics rather than simply adding volume. \n Close the data flywheel — define dataset schemas, quality metrics, and validation; track auto-labeling quality against model requirements; route model failures back into re-labeling and retraining loops. \n Partner with the end-to-end model team — co-define dataset specifications with VLM/VLA model developers, own the quality bar and delivery cadence, and operationalize a continuous dataset delivery loop into their training pipelines. \n Scale on cloud infrastructure — build distributed, reproducible pipelines using columnar data formats and distributed compute, with disciplined software practices, version control, and documentation. \n Lead and mentor — serve as project lead, guide less-experienced engineers, run design reviews, set coding and annotation standards, and drive alignment across team interfaces to the rest of the organization. \n Stay current — track the latest advances in multimodal models, auto-labeling, and end-to-end autonomous driving, and translate relevant research into production data systems.   \n \n What You’ll Need to Succeed:   \n \n Considered highly skilled and proficient in discipline ; conducts complex, important work under minimal supervision and with wide latitude for independent judgment. \n Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains, and owns team technical solutions and drives consensus. Mentors and guides engineers within the group. \n Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering, or related technical field plus competences typically acquired through 6+ years of experience; OR Master’s Degree in a related technical field plus competences typically acquired through 3+ years of experience.   \n \n Required Qualifications (some combination of the following skills):   \n \n Computer Vision \u0026 Deep Learning — model training and at least two of: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, BEV, Depth Estimation. \n Multimodal / VLM experience — hands-on work with vision-language models, open-vocabulary or zero-shot recognition, dense captioning, or semantic embeddings / search applied to perception data. \n Model Data Curation — building targeted datasets that measurably improve downstream model performance; large-scale Parquet data processing (Databricks, Daft, Pandas, etc.). \n Distributed ML \u0026 data frameworks — PyTorch, Lightning, Ray, Spark, o","salary_min":177300,"salary_max":212800,"location":"Ann Arbor, MI","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["embeddings","payments","generative-ai","autonomous-vehicles","pytorch","cloud","deep-learning","mlops"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8572505002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T13:00:15Z","expires_at":"2026-08-15T14:06:21.315345Z","created_at":"2026-07-09T14:05:54.692584Z","updated_at":"2026-07-16T14:06:21.507646Z","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/ea933b5d-c732-402c-bd2a-5aff99b45796"},{"id":"4ee45bf1-b8e9-4cdd-a230-51d0059bd127","company_id":"ccb23d77-c69e-462b-a941-02ce99527e78","title":"Senior Software Engineer, Perception","slug":"senior-software-engineer-perception-cb375ed5","description":"Who we are \n Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.\n The Aurora Driver  will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.\n  \n At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit  aurora.tech  or follow us on  LinkedIn .\n  \n Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Senior Software Engineer, Perception to join our autonomous driving team. In this role, you will collaborate closely with cross-functional engineering teams to design and deploy state-of-the-art machine learning models directly onto our real-time vehicle platform. This is an exciting opportunity to solve complex, high-impact autonomy challenges and directly shape the future of the Aurora Driver.\n In this role, you will \n \n Develop and Optimize Core Perception Solutions: Research and develop state-of-the-art deep learning and machine learning models to improve perception under challenging scenarios, such as long-range multi-sensor detection and degraded sensor conditions.\n Tackle End-to-End Autonomy Challenges: Address object detection, tracking of traffic actors, action recognition, and semantic understanding of diverse traffic scenes.\n Deploy Production-Ready Software: Guide software development from initial prototype to production deployment on a real-time AV platform, leveraging large-scale data sets for training and analysis.\n Collaborate and Iterate: Partner with team members to diagnose, analyze, and resolve failure modes encountered during on-road and simulated testing to produce robust, well-tested systems.\n Scale ML Engineering Pipelines: Build and scale robust ML pipelines to facilitate quick experimentation as well as large-scale training and testing.\n \n   \n Required Qualifications \n \n BS, MS, or PhD in Computer Science, Robotics, Engineering, or a related field with a strong foundation in one or more focus areas of ML, including deep learning, computer vision, recursive state estimation, structured prediction, and optimization.\n 6+ years of research-based or professional experience with C++ and Python .\n Comprehensive grasp of linear algebra, discrete/continuous optimization, supervised/unsupervised methods, and generative/discriminative models.\n Strong publication record at top-tier robotics/computer vision conferences/journals, or significant industry experience in relevant fields (robotics, computer vision, self-driving technology)\n \n   \n Desirable Qualifications \n \n Experience utilizing deep learning frameworks such as PyTorch or TensorFlow .\n Advanced production-level knowledge of C++ is highly preferred.\n Prior experience applying computer vision and machine learning directly to complex robotics problems.\n Experience deploying computer vision/ML models at scale across large physical fleets.\n Proven ability to work effectively in environments requiring close cross-team collaboration.\n Experience working with 3D data, including 3D object detection, tracking, semantic segmentation, or processing point clouds from LiDAR, Radar, and multi-camera system\n \n  \n The base Salary range for this position is $162,000 - $260,000.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. \n  #LI-td-1 #Mid-Senior \n Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.\n We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.\n Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom .\n Our commitment to safety \n At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibili","salary_min":162000,"salary_max":260000,"location":"Mountain View, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["robotics","deep-learning","computer-vision","pytorch","autonomous-vehicles","tensorflow"],"apply_url":"https://aurora.tech/jobs/8604304002?gh_jid=8604304002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T23:03:08Z","expires_at":"2026-08-15T14:05:24.410855Z","created_at":"2026-07-09T14:04:51.543619Z","updated_at":"2026-07-16T14:05:24.566273Z","company_name":"Aurora Innovation","company_slug":"aurora-innovation","company_logo_url":"https://www.google.com/s2/favicons?domain=aurora.tech\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4ee45bf1-b8e9-4cdd-a230-51d0059bd127"},{"id":"3b9a1d3f-3e4a-4202-a36f-4a5f2aa3a083","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Principal Technical Lead Manager - AI Data Applications","slug":"principal-technical-lead-manager-ai-data-applications-37db2211","description":"Mission Summary: We are seeking an experienced and visionary Principal Technical Lead Manager to build and lead our new AI Data Application team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements. \n What You'll Be Doing: \n \n Team Leadership \u0026 Management:\n \n Build, lead, and manage a high-performing team of full stack web engineers. \n Define team goals, priorities, and roadmap in alignment with company objectives.\n Provide technical guidance, mentorship, and career development opportunities to team members. \n \n Technical Strategy \u0026 Execution:\n \n Define the technical vision and strategy for building services and web platforms for storing and searching metadata and forming datasets.\n Define AI adoption strategy for frontend codebase and UX projects to speed up development and time to market.\n Identify and evaluate cutting-edge technologies and methodologies for querying through datasets stored in various types of databases (think images in vector store, metadata in Postgres, etc) and APIs owned by several teams across the company.  \n \n Cross-functional Collaboration:\n \n Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.\n Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. \n \n \n What We're Looking For: \n \n Experience:\n \n BS or MS in Computer Science or related field\n 8+ years of professional experience in building web applications \n 3+ years of experience in a technical lead or management role\n Extensive experience with building web applications for search and data curation needs.\n Extensive experience with API and query federation technologies such as GraphQL or AWS Athena.  \n \n Technical Skills:\n \n Strong programming skills in Typescript and Python.\n Strong knowledge of modern frontend technologies such React.\n Strong knowledge of building REST and gRPC based services, ideally in Python. \n Prior experience with building web applications for engineering or machine learning needs \n \n \n Bonus Points (not required):  \n \n Prior experience in autonomous vehicles (AV) is a plus.\n Prior experience with Bazel based build systems.\n Prior experience with developing frontend workflows using LLMs. \n \n We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Range\n $240,000 — $330,000 USD \n Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. \n Our journey is always people first. \n We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.\n Higher purpose, greater impact. \n We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  \n Scale up, not starting up. \n Our team is behind some of ","salary_min":240000,"salary_max":330000,"location":"Las Vegas, Nevada, United States","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["cloud","autonomous-vehicles","llm","api-design","infrastructure"],"apply_url":"https://motional.com/open-positions/?gh_jid=7798020003#/7798020003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T18:26:12Z","expires_at":"2026-08-15T14:06:46.735088Z","created_at":"2026-07-09T14:06:15.715999Z","updated_at":"2026-07-16T14:06:46.857496Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3b9a1d3f-3e4a-4202-a36f-4a5f2aa3a083"},{"id":"dd6aef7f-c0c1-44d6-965b-8a33d9814f7d","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Principal Technical Lead Manager - AI Data Applications","slug":"principal-technical-lead-manager-ai-data-applications-ca410f7b","description":"Mission Summary: We are seeking an experienced and visionary Principal Technical Lead Manager to build and lead our new AI Data Application team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements. \n What You'll Be Doing: \n \n Team Leadership \u0026 Management:\n \n Build, lead, and manage a high-performing team of full stack web engineers. \n Define team goals, priorities, and roadmap in alignment with company objectives.\n Provide technical guidance, mentorship, and career development opportunities to team members. \n \n Technical Strategy \u0026 Execution:\n \n Define the technical vision and strategy for building services and web platforms for storing and searching metadata and forming datasets.\n Define AI adoption strategy for frontend codebase and UX projects to speed up development and time to market.\n Identify and evaluate cutting-edge technologies and methodologies for querying through datasets stored in various types of databases (think images in vector store, metadata in Postgres, etc) and APIs owned by several teams across the company.  \n \n Cross-functional Collaboration:\n \n Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.\n Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. \n \n \n What We're Looking For: \n \n Experience:\n \n BS or MS in Computer Science or related field\n 8+ years of professional experience in building web applications \n 3+ years of experience in a technical lead or management role\n Extensive experience with building web applications for search and data curation needs.\n Extensive experience with API and query federation technologies such as GraphQL or AWS Athena.  \n \n Technical Skills:\n \n Strong programming skills in Typescript and Python.\n Strong knowledge of modern frontend technologies such React.\n Strong knowledge of building REST and gRPC based services, ideally in Python. \n Prior experience with building web applications for engineering or machine learning needs \n \n \n Bonus Points (not required):  \n \n Prior experience in autonomous vehicles (AV) is a plus.\n Prior experience with Bazel based build systems.\n Prior experience with developing frontend workflows using LLMs. \n \n We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Range\n $240,000 — $330,000 USD \n Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. \n Our journey is always people first. \n We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.\n Higher purpose, greater impact. \n We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. 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This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements. \n What You'll Be Doing: \n \n Team Leadership \u0026 Management:\n \n Build, lead, and manage a high-performing team of full stack web engineers. \n Define team goals, priorities, and roadmap in alignment with company objectives.\n Provide technical guidance, mentorship, and career development opportunities to team members. \n \n Technical Strategy \u0026 Execution:\n \n Define the technical vision and strategy for building services and web platforms for storing and searching metadata and forming datasets.\n Define AI adoption strategy for frontend codebase and UX projects to speed up development and time to market.\n Identify and evaluate cutting-edge technologies and methodologies for querying through datasets stored in various types of databases (think images in vector store, metadata in Postgres, etc) and APIs owned by several teams across the company.  \n \n Cross-functional Collaboration:\n \n Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.\n Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. \n \n \n What We're Looking For: \n \n Experience:\n \n BS or MS in Computer Science or related field\n 8+ years of professional experience in building web applications \n 3+ years of experience in a technical lead or management role\n Extensive experience with building web applications for search and data curation needs.\n Extensive experience with API and query federation technologies such as GraphQL or AWS Athena.  \n \n Technical Skills:\n \n Strong programming skills in Typescript and Python.\n Strong knowledge of modern frontend technologies such React.\n Strong knowledge of building REST and gRPC based services, ideally in Python. \n Prior experience with building web applications for engineering or machine learning needs \n \n \n Bonus Points (not required):  \n \n Prior experience in autonomous vehicles (AV) is a plus.\n Prior experience with Bazel based build systems.\n Prior experience with developing frontend workflows using LLMs. \n \n We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Range\n $240,000 — $330,000 USD \n Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. 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