{"id":3974654,"url":"https://alion.io/job/nvidia-senior-perception-ai-engineer-autonomous-vehicles","title":"Senior Perception AI 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":84,"open_postings":797,"ghost_share":0.025,"stale_share":0.55,"repost_share":0.055,"time_to_fill_p50_days":41,"computed_at":"2026-11-09T06:03:00Z"}},"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":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"NVIDIA Drive","optional":false},{"name":"PyTorch","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"TensorRT","optional":false}],"status":"live","first_seen_at":"2026-11-09T17:33:40Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T17:33:40Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Self-driving cars need to understand the road ahead in real time, even without a prior map. Our team builds the online mapping system that turns raw data from multiple sensors into an accurate, continuously updated 3D model of the driving environment. This model captures lanes, road boundaries, crosswalks, intersection layouts, and traffic control information to support decisions across the autonomous driving system. You’ll write the models, write the C++, and ship both into vehicles on the road, running on NVIDIA DRIVE Orin and Thor. The tasks you perform will be tested at scale, on real cars, with real safety requirements. NVIDIA’s autonomous driving stack spans the full range of automation, and online mapping is a core component across it, so your work will reach L2++, L3, and L4 systems. The role spans two subject areas, and we want someone who enjoys both:\nLearned mapping involves training DNNs to predict map elements directly from visual sensors, laser scanning, and radar. This includes owning the GT story and collaborating with partners to provide the vital data. \nGeometry and C++ engineering: building the post-processing that turns network outputs into stable, consistent, production-ready map elements.\nWhat you’ll be doing:\nDesign, train, and improve PyTorch models that predict online map elements (lanes, road boundaries, crosswalks, road markings, topology) from camera, LiDAR, and/or radar, using BEV and vectorized-map representations.\nSolve the hardest scenes: model intersection topology (connectivity between incoming and outgoing lanes, turn paths, merges and splits) and traffic light understanding (detection, state, and association of each light to the lanes it controls).\nWrite production C++ for geometry-based post-processing: curve and surface fitting, association, multi-frame fusion and tracking, topology reasoning, and consistency checks on DNN outputs.\nApply multi-view geometry, calibration, coordinate transforms, and sensor fusion to produce 3D maps that stay accurate and stable over time.\nOptimize and deploy models alongside algorithms on NVIDIA DRIVE Orin and Thor under real-time and safety constraints, and get them running in vehicles. \nLead the narrative around GT and the data loop by planning datasets and defining GT and labeling requirements. Work with labeling, data, and tooling partners to produce high-quality GT. Mine data, choose metrics, and analyze failure cases to drive improvements. \nDefine critical metrics and build evaluation tooling to measure quality gains against large-scale real-world data.\nPartner with perception, localization, planning, and infrastructure teams to integrate online mapping into the full AV stack, across L2++, L3, and L4 programs.\nContribute to technical direction and architecture decisions across the learned and geometric components of the mapping system.\nWhat we need to see:\nMS or PhD or equivalent experience in Computer Science, Electrical Engineering, Robotics, or a related field, or equivalent experience \n5+ years of industry or research experience in autonomous driving, robotics, or computer vision.\nStrong foundation in 3D geometry: camera models, projective geometry, coordinate transforms, optimization, and curve/surface fitting.\nStrong C++ skills, with a track record of designing and shipping production-quality algorithm code that is fast, reliable, and maintainable.\nHands-on experience training deep neural networks in PyTorch, including model design, training pipelines, debugging, and performance analysis.\nExperience with data-driven development: building datasets, defining labels and GT, choosing metrics, and improving models by analyzing failures.\nExcellent problem-solving and communication skills, and the ability to drive technical direction across teams.\nWays to stand out from the crowd:\nDirect experience with DNN-based online or HD map generation, or BEV perception (e.g., vectorized map prediction, lane topology learning), or equivalent experience to BEV perception. \nExperience with intersection understanding, such as lane connectivity and topology reasoning in sophisticated junctions, or traffic light detection and lane association.\nExperience combining learned models with geometric post-processing in a production AV system and publications or open-source contributions in 3D vision, mapping, or autonomous driving.\nBackground in sensor fusion, multi-object tracking, or temporal fusion for map elements.\nExperience deploying DNNs and algorithms on embedded GPUs (CUDA, TensorRT), ideally on DRIVE Orin or Thor, under real-time constraints.\nYour base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:\n184,000 USD - 287,500 USD for Level 4; and 224,000 USD - 356,500 USD for Level 5.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until November 13, 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":5509,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","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":"2026-11-09T17:33:40Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 2,856 · green card filings: 799","filings_12m":2856,"filings_prev_12m":1684,"green_card_filings_12m":799,"median_offered_wage_usd":186407,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1330}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":41,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-09T18:55:48Z"},"pay":{"stated_usd_annual":287500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-perception-ai-engineer-autonomous-vehicles","json_url":"https://alion.io/job/nvidia-senior-perception-ai-engineer-autonomous-vehicles.json","meta":{"generated_at":"2026-11-09T18:55:48Z","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":4161,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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-perception-ai-engineer-autonomous-vehicles"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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-perception-ai-engineer-autonomous-vehicles"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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-perception-ai-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-perception-ai-engineer-autonomous-vehicles\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-senior-perception-ai-engineer-autonomous-vehicles"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3974654}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3974654},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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