{"id":2726761,"url":"https://alion.io/job/nvidia-senior-gpu-raytracing-engineer","title":"Senior GPU Raytracing Engineer","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":"A","score":86,"open_postings":410,"ghost_share":0.01,"stale_share":0.534,"repost_share":0.032,"time_to_fill_p50_days":33,"computed_at":"2026-10-16T05:45:00Z"}},"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","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":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Digital Twin","optional":false},{"name":"Intel Embree","optional":false},{"name":"NVIDIA OptiX","optional":false}],"status":"live","first_seen_at":"2026-05-21T00:00:00Z","employer_posted_date":"2026-05-21","last_verified_at":"2026-10-16T19:06:27Z","board_verified":true,"closed_at":null,"days_open":148,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":148},"description":"We are seeking a self-motivated senior engineer for the Aerial Omniverse Digital Twin team. This hire will lead the design and implementation of a real-time, GPU-accelerated propagation engine that predicts how radio signals travel through realistic 3-D environments - producing both per-link channel characterisations and radio maps at the speed required by production RAN stacks! This position offers the opportunity to work on foundational technology for 5G and 6G network simulation, using NVIDIA's world-class GPU and ray-tracing platforms.\nWhat you'll be doing:\nAs a member of NVIDIA's Aerial team, you will architect and implement a GPU ray-tracing engine that operates at two time scales. At the planning scale, the engine produces volumetric radio maps - coverage, SINR, and best-server maps at multiple resolutions, composable across cells, frequencies, and beam configurations - that network operators use to design and optimise deployments. At the real-time scale, the same engine delivers per-link multipath channel updates at the millisecond cadence that a production RAN stack requires, using adaptive algorithms that exploit temporal coherence to avoid recomputing what hasn't changed. Laying the foundations for real-time ray tracing on GPU hardware - algorithms, data structures, and multi-GPU scaling strategies that make sub-millisecond propagation updates feasible - is the defining technical challenge of this role.\nWhat we need to see:\nPhD in computer graphics, high-performance computing, computational electromagnetics, or a closely related field (or equivalent experience).\n\n8+ years of relevant experience.\n\nHands-on proficiency with CUDA and at least one GPU ray-tracing framework (OptiX, Vulkan RT, Embree), with a track record of writing production-quality GPU code.\n\nProficiency in GPU-friendly spatial data structures (BVH, space-filling curves, hash maps) and the ability to reason about memory hierarchy, occupancy, and compute-vs-bandwidth trade-offs at the kernel level.\n\nWorking knowledge of electromagnetic wave propagation phenomena (reflection, transmission, diffraction, scattering) sufficient to implement and validate a propagation engine.\n\nImpactful publications in GPU ray tracing, real-time rendering, or deterministic propagation modelling.\n\nWays to stand out from the crowd:\nExperience with real-time or near-real-time ray-tracing engines shipping in production systems.\n\nPrior work on multi-GPU partitioning for ray-tracing or large-scale simulation workloads.\n\nFamiliarity with 3GPP channel models and wireless network planning tools.\n\nKnowledge of geospatial coordinate systems and tiling schemes.\n\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 May 25, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering a diverse 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":3537,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-16T16:32:11Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.399,"p_room":0.28,"age_days":148,"expected_fill_days":33,"reasons":["conf:0","win:tail","crowd:brand"],"computed_at":"2026-10-16T19:49:07Z"},"pay":{"stated_usd_annual":287500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-gpu-raytracing-engineer","json_url":"https://alion.io/job/nvidia-senior-gpu-raytracing-engineer.json","meta":{"generated_at":"2026-10-16T19:49:07Z","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":205,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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-gpu-raytracing-engineer"},{"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-gpu-raytracing-engineer"},{"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-gpu-raytracing-engineer"},{"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-gpu-raytracing-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-senior-gpu-raytracing-engineer"}]}