Jobs / United States / Nvidia Corporation

PhD Research Intern, Generalist Embodied Agents Research - 2027

Nvidia Corporation · 🇺🇸 2 Locations

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • What Nvidia Corporation paid sponsored hires in similar roles83 certified filings for “Research Scientist” (Computer and Information Research Scientists) in CA: $164k–$201k, median $169k. Most were filed at wage level II (45%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

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Sponsor Radar — Nvidia Corporation

2,374 H-1B filings certified since Oct 2025

The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Nvidia Corporation →

About the role

NVIDIA is searching for an outstanding research intern to build humanoid robot foundation models and systems in the Generalist Embodied Agent Research (GEAR) group. Everything that moves will eventually be autonomous. Our mission is to build general-purpose embodied agents that learn to explore and master complex skills across the virtual and the physical world. You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, game AI, and physical simulation. Our past projects include Eureka , VIMA , Voyager , MineDojo , MimicPlay , Prismer , and more. One of our team’s most recent milestones includes Project GR00T , a foundation model for humanoid robots. Your contributions will have a significant impact on our moonshot research projects and product roadmaps. What you will be doing: • Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents; • Develop large-scale AI training and inference methods for foundation models; • Optimize and deploy AI models in physical simulation and on robot hardware; • Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services. What we need to see: • Pursuing a PhD degree in Computer Science/Engineering, Electrical Engineering, etc. • Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.). Python is required; C++ and CUDA proficiencies are a plus. • Excellent skills in working with large-scale machine learning/AI systems and computer infrastructure. • Experience with at least one of the following areas: multimodal foundation model or robotics. • Multimodal Foundation Model:  • Hands-on training experience and publications in at least one of the following models: LLMs, vision-language models, video generative models, diffusion models, and action-based transformers. Robotics: • Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc.  • Deep understanding of robot kinematics, dynamics, and sensors; • Ability to safely operate robot hardware, lab equipment, and tools; • Knowledge of control methods, such as PID, MPC, whole body control, etc; • Familiarity with physics simulation frameworks such as Mujoco and Isaac suite. GEAR Publication: • DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos • EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data • DreamZero: World Action Models are Zero-shot Policies • SONIC: Supersizing motion tracking for natural humanoid whole-body control NVIDIA 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 embodied agents! Our 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. You will also be eligible for Intern   benefits . ​ Applications for this job will be accepted at least until October 16, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. 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,

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Source: Employer career site (Workday) First seen: 2026-10-13 Last confirmed: 2026-10-13 How our data works → Report this job

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