{"id":2777576,"url":"https://alion.io/job/nvidia-senior-research-engineer-foundation-model-training-infrastructure","title":"Senior Research Engineer, Foundation Model Training Infrastructure","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":82,"open_postings":592,"ghost_share":0.019,"stale_share":0.66,"repost_share":0.034,"time_to_fill_p50_days":33,"computed_at":"2026-10-17T05:46:00Z"}},"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":224000,"max":356500,"currency":"USD","period":"year","gross":null,"usd_annual":356500},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Embodied AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"HPC","optional":false},{"name":"JAX","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"SLURM","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-01-09T00:00:00Z","employer_posted_date":"2026-01-09","last_verified_at":"2026-10-18T01:32:53Z","board_verified":true,"closed_at":null,"days_open":282,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":282},"description":"NVIDIA is searching for a senior or principal engineer who specializes in building cutting-edge infrastructure for large-scale foundation model training in the Generalist Embodied Agent Research (GEAR) group. Our team is leading Project GR00T, NVIDIA’s moonshot initiative at building foundation models and full-stack technology for humanoid robots.\nYou will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation. Our past projects includeEureka,VIMA,Voyager,MineDojo,MimicPlay,Prismer, and more. Your contributions will have a significant impact on our research projects and product roadmaps.\nWhat you will be doing:\nDesign and maintain large-scale distributed training systems to support multi-modal foundation models for robotics.\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\nDevelop robust monitoring and debugging tools to ensure the reliability and performance of training workflows on large GPU clusters.\n\nCollaborate with researchers to integrate cutting-edge model architectures into scalable training pipelines.\n\nWhat we need to see:\nBachelor's degree in Computer Science, Robotics, Engineering, or a related field;\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 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\nWays to stand out from the crowd:\nMaster’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related field;\n\nDemonstrated Tech Lead experience, coordinating a team of engineers and driving projects from conception to deployment;\n\nStrong experience at building large-scale LLM and multimodal LLM training infrastructure;\n\nContributions to popular open-source AI frameworks or research publications in top-tier AI conferences, such as NeurIPS, ICRA, ICLR, CoRL.\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 productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and large-scale foundation models!\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until January 13, 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":3615,"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":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-17T09:52:59Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.192,"p_room":0.28,"age_days":282,"expected_fill_days":33,"reasons":["conf:8","win:tail","crowd:brand"],"computed_at":"2026-10-18T09:44:31Z"},"pay":{"stated_usd_annual":356500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-research-engineer-foundation-model-training-infrastructure","json_url":"https://alion.io/job/nvidia-senior-research-engineer-foundation-model-training-infrastructure.json","meta":{"generated_at":"2026-10-18T09:44:31Z","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":14423,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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-foundation-model-training-infrastructure"},{"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-foundation-model-training-infrastructure"},{"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-foundation-model-training-infrastructure"},{"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-foundation-model-training-infrastructure\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-senior-research-engineer-foundation-model-training-infrastructure"}]}