{"id":1103041,"url":"https://alion.io/job/nvidia-phd-research-intern-learning-embodied-skills-from-human-data-2027","title":"PhD Research Intern, Learning Embodied Skills from Human Data - 2027","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":805,"ghost_share":0.024,"stale_share":0.732,"repost_share":0.043,"time_to_fill_p50_days":35,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","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":38,"max":94,"currency":"USD","period":"hour","gross":null,"usd_annual":188000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Embodied AI","optional":false},{"name":"Imitation Learning","optional":false},{"name":"Isaac Lab","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MuJoCo","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Teleoperation","optional":false},{"name":"Vision-Language-Action","optional":false},{"name":"Isaac Sim","optional":true}],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-24T08:48:21Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"NVIDIA is seeking outstanding Research Interns to join the Data-Driven AI for Robotics (DAIR) group. The focus is on learning embodied skills from large-scale human data. Our objective is to develop AI systems that capture, understand, and reproduce complex human motion and interaction skills across physical and digital embodiments, including humanoid robots and animated characters.\nOur research spans the full stack: reconstructing human motion and human-object interactions from video; generating diverse, controllable character behaviors; transferring motion across embodiments; and training physically grounded controllers for humanoid robots and interactive virtual characters.\nYou will collaborate with a passionate and supportive research team that consistently produces influential work published at leading computer vision, machine learning, graphics, and robotics conferences. You will also have the opportunity to collaborate with world-class research and product teams across NVIDIA, following our strong “one-team” culture.\nWhat you'll be doing:\nInnovate and implement novel AI algorithms that transform large-scale human data into controllable motion and interaction skills across physical and digital embodiments.\nDevelop robust, scalable training and inference pipelines for motion reconstruction, generation, retargeting, and character and robot control.\nBuild methods that transfer human skills to humanoid robots, including whole-body loco-manipulation and dexterous manipulation.\nMaintain a close, collaborative relationship with your mentor(s).\nPublish your research findings at leading computer vision, machine learning, graphics, and robotics conferences.\nPartner with product teams to enable effective technology transfer of your work.\nResearch Topics Include:\nHuman motion and human-object interaction reconstruction, synthesis, and generation.\nLearning character and robot skills from video, motion-capture, and teleoperation data.\nCross-embodiment motion generation, retargeting, and tracking.\nWhole-body humanoid control, loco-manipulation, and dexterous manipulation.\nReinforcement learning and imitation learning.\nDifferentiable physics simulation and physically grounded motion generation.\nWorld action models, vision-language-action models, video and motion foundation models, and LLM-based agents for data generation and embodied AI.\nWhat we need to see:\nPursuing a PhD degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field.\nHighly efficient and creative use of coding agents to accelerate research prototyping, experimentation, and development.\nOutstanding engineering skills in rapid prototyping and developing model-training and simulation frameworks (e.g., PyTorch, Isaac Lab, MuJoCo).\nExcellent skills in working with large-scale machine learning/AI systems and compute infrastructure.\nA promising research track record with at least one publication at leading computer vision, computer graphics or robotics conference (e.g. CVPR, ICCV, SIGGRAPH, CoRL, etc.).\nExperience in human motion modeling, human-object interaction, character animation, robot learning, reinforcement or imitation learning, cross-embodiment motion tracking, generative modeling, video understanding, or differentiable physics simulation is preferred.\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 at the forefront of developing the next generation of embodied AI systems, spanning humanoid robots and digital characters.\nOur internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.\nYou will also be eligible for Intern benefits.\nApplications for this job will be accepted at least until September 25, 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":4472,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"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":"2026-09-22T02:07:38Z"}],"visa":[],"liveness":{"score":32,"band":"fade","label":"Fading","p_open":1,"p_active":0.539,"p_room":0.6,"age_days":34,"expected_fill_days":35,"reasons":["conf:21","stale_co","velocity","win:late","crowd:junior,brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":188000,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-phd-research-intern-learning-embodied-skills-from-human-data-2027","json_url":"https://alion.io/job/nvidia-phd-research-intern-learning-embodied-skills-from-human-data-2027.json","meta":{"generated_at":"2026-10-25T19:03:57Z","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":27121,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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-phd-research-intern-learning-embodied-skills-from-human-data-2027"},{"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-phd-research-intern-learning-embodied-skills-from-human-data-2027"},{"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-phd-research-intern-learning-embodied-skills-from-human-data-2027"},{"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-phd-research-intern-learning-embodied-skills-from-human-data-2027\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-phd-research-intern-learning-embodied-skills-from-human-data-2027"}]}