{"id":3416342,"url":"https://alion.io/job/nvidia-phd-researcher-intern-world-foundation-models","title":"PhD Researcher Intern, World Foundation Models","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":772,"ghost_share":0.022,"stale_share":0.583,"repost_share":0.04,"time_to_fill_p50_days":40,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Seoul, South Korea"],"countries":["KR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Linux","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-10-28T19:33:34Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-04T02:55:22Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"NVIDIA is seeking PhD research intern to advance world foundation models within NVIDIA Cosmos for Physical AI. Our research explores new model architectures, training objectives, and efficient training and inference for multimodal generation and action-conditioned prediction. We are particularly interested in physical plausibility, spatial and temporal consistency, and the modeling of human appearance, motion, and interactions with objects and environments.\nYou will work with NVIDIA researchers and engineers to define and pursue a focused research project, develop new methods, and demonstrate measurable improvements through rigorous experimentation. Projects will reflect team priorities and your research strengths. We welcome candidates with relevant research experience in generative modeling, computer vision, multimodal learning, computer graphics, or robotics.\nWhat you'll be doing:\nResearch and develop model architectures, training objectives, and learning algorithms for video generation and world modeling, including diffusion or flow-matching approaches, multimodal conditioning, and spatial and temporal representations.\nDesign controlled experiments and ablation studies, combining quantitative benchmarks with qualitative evaluation to diagnose model behavior, identify failure modes, and validate improvements.\nExplore training and inference efficiency through architectural changes, distillation, model compression, or other optimization techniques.\nDevelop data curation and evaluation workflows, including model-assisted filtering, annotation, and quality assessment, and measure their impact on model performance.\nThroughout your project, you will collaborate with research and engineering teams and share findings through reproducible implementations, technical reports, and presentations.\nWhat we need to see:\nCurrently pursuing a PhD in Computer Science, Computer Graphics, Computer Engineering, Robotics, or a closely related field.\nResearch experience in one or more relevant areas, such as generative modeling, computer vision, video understanding or generation, multi-modal learning, 3D vision, or robotics.\nStrong proficiency in Python and PyTorch, demonstrated through research implementations or substantial projects.\nHands-on experience implementing, training or fine-tuning, and evaluating deep learning models.\nAbility to formulate research questions, design rigorous experiments, analyze results, and communicate findings clearly.\nComfortable working in Linux and using standard development practices for ML research, including version control, testing, and experiment reproducibility.\nWays to stand out from the crowd:\nPublications at venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or related conferences, or substantial research projects demonstrating original technical contributions.\nBackground with human appearance or motion modeling, human-object interactions, 3D generative models, 3D/4D representations, or neural rendering.\nExperience assessing physical plausibility, diagnosing visual and temporal artifacts, or developing evaluations using perceptual metrics, human feedback, or learned evaluators.\nExperience with distributed training, GPU performance profiling, efficient data loading, or model acceleration.\nPrior experience with NVIDIA Cosmos is welcome but not required.\nJoin us to help build the next generation of world models for Physical AI! NVIDIA 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.\nWidely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/","description_format":"text","description_chars":4117,"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":"2026-10-28T19:33:34Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":5,"expected_fill_days":40,"reasons":["conf:2","stale_co","velocity","win:early","comp:junior,brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/nvidia-phd-researcher-intern-world-foundation-models","json_url":"https://alion.io/job/nvidia-phd-researcher-intern-world-foundation-models.json","meta":{"generated_at":"2026-11-04T06:11:04Z","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":9608,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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-researcher-intern-world-foundation-models"},{"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-researcher-intern-world-foundation-models"},{"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-researcher-intern-world-foundation-models"},{"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-researcher-intern-world-foundation-models\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-phd-researcher-intern-world-foundation-models"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3416342}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3416342},"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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