{"id":194726,"url":"https://alion.io/job/nvidia-senior-research-engineer-autonomous-vehicles","title":"Senior Research Engineer - Autonomous Vehicles","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":817,"ghost_share":0.023,"stale_share":0.736,"repost_share":0.043,"time_to_fill_p50_days":35,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":184000,"max":287500,"currency":"USD","period":"year","gross":null,"usd_annual":287500},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AVFoundation","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"Fine-tuning","optional":false},{"name":"HPC","optional":false},{"name":"JAX","optional":false},{"name":"Kubernetes","optional":false},{"name":"Multimodal AI","optional":false},{"name":"PPO","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Sim-to-Real","optional":false},{"name":"SLURM","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-08-05T00:00:00Z","employer_posted_date":"2026-08-05","last_verified_at":"2026-10-24T08:48:21Z","board_verified":false,"closed_at":null,"days_open":83,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":83},"description":"We are recruiting top research engineers in the Autonomous Vehicles Research team at NVIDIA with strong expertise in software engineering and in artificial intelligence topics, such as deep learning, reinforcement learning, and generative modeling. You must have strong programming skills, a solid track record of training deep learning models at scale, and a good mathematical foundation to analyze new AI algorithms. We focus on AI models for autonomous driving such as agent behavior models, end-to-end AV architectures, AI safety, closed-loop training approaches, and AV foundation models (VLMs, reasoning models, etc.). We will be publishing at top venues and working with the broader scientific community. Communicating with different teams and domain scientists in different areas is essential.\nThe position will aid fundamental research with the freedom and bandwidth to conduct ground-breaking publishable research. At the same time, you will also have the opportunity to impact products and collaborate with teams that focus on AI products based on CUDA, physically-based simulation, graphics, natural language processing, autonomous driving, HW optimization, robotics, healthcare, and many more. NVIDIA has an open and nurturing atmosphere for research that encourages collaboration.\nWhat you will be doing:\nDevelop large-scale supervised learning and reinforcement learning training frameworks to support multi-modal foundation models for AVs capable of running on thousands of GPUs;\n\nOptimize GPU and cluster utilization for efficient model training and fine-tuning on massive datasets;\n\nImplement scalable data loaders and preprocessors tailored for multimodal datasets, including videos, text, and sensor data;\n\nBuild and optimize simulation infrastructure (based on GPU-accelerated simulators) to support the training of driving policies for AVs at scale;\n\nCollaborate with researchers to integrate cutting-edge model architectures into scalable training pipelines.\n\nDevelop sim-to-real transfer pipelines and work closely with the AV product team to deploy to real-world cars;\n\nPropose scalable solutions that combine LLMs with policy learning.\n\nApply reinforcement learning to finetune multimodal LLMs.\n\nDevelop robust monitoring and debugging tools to ensure the reliability and performance of training workflows on large GPU clusters.\n\nWhat we need to see:\nBachelor's degree in Computer Science, Robotics, Engineering, or a related field or equivalent experience.\n\n10+ years of full-time industry experience in large-scale MLOps and AI infrastructure.\n\nProven experience designing and optimizing distributed training systems with frameworks like PyTorch, JAX, or TensorFlow.\n\nDeep familiarity with reinforcement learning algorithms like PPO, SAC, or Q-learning, including experience tuning hyperparameters and reward functions.\n\nFamiliarity with common policy learning techniques like reward shaping, domain randomization, curriculum learning.\n\nDeep understanding of GPU acceleration, CUDA programming, and cluster management tools like Kubernetes.\n\nStrong programming skills in Python and a high-performance language such as C++ for efficient system development.\n\nStrong experience with large-scale GPU clusters, HPC environments, and job scheduling/orchestration tools (e.g., SLURM, Kubernetes).\n\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous research scientist with a genuine passion for advancing the state of AI? If so, we want to hear from you!\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until August 9, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","description_format":"text","description_chars":4535,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Smart Mobility","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-09-03T08:08:33Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.411,"p_room":0.28,"age_days":82,"expected_fill_days":35,"reasons":["conf:45","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":{"stated_usd_annual":287500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-research-engineer-autonomous-vehicles","json_url":"https://alion.io/job/nvidia-senior-research-engineer-autonomous-vehicles.json","meta":{"generated_at":"2026-10-27T01:00:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1386,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-senior-research-engineer-autonomous-vehicles"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnvidia-senior-research-engineer-autonomous-vehicles"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnvidia-senior-research-engineer-autonomous-vehicles"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nvidia-senior-research-engineer-autonomous-vehicles\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-senior-research-engineer-autonomous-vehicles"}]}