[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All NVIDIA jobs](https://jobs.opennash.com/companies/nvidia/) · [Search jobs](/search/) NVIDIA · Multiple locations # PhD Research Intern, Generalist Embodied Agents Research - 2027 Multiple locations Early career Research & Science Listed on NVIDIA’s official careers site. Posted October 13, 2026. Check that it is still open and apply there. [Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/PhD-Research-Intern--Generalist-Embodied-Agents-Research---2027_JR2025103) [OpenNash Jobs](https://jobs.opennash.com/) / [NVIDIA](https://jobs.opennash.com/companies/nvidia/) / PhD Research Intern, Generalist Embodied Agents Research - 2027 ## Job description 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, marital status, veteran status, disability status or any other characteristic protected by law. ## At a glance - Posted by the employer: Oct 13, 2026 - First seen by OpenNash: Oct 13, 2026 - Last checked: Oct 20, 2026 - Listed for: 7 days - Location: Multiple locations[Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/PhD-Research-Intern--Generalist-Embodied-Agents-Research---2027_JR2025103) ## More jobs at NVIDIA ### [AI Research Intern, TAO Multi-Modal Model Development - 2026](https://jobs.opennash.com/companies/nvidia/jobs/03ae21f51c514c4da323/) ### [AI Research Scientist](https://jobs.opennash.com/companies/nvidia/jobs/3ccc9af8db6b4172b123/) ### [AI Researcher, TAO Multi-Modal Model Development](https://jobs.opennash.com/companies/nvidia/jobs/9c5e9d91cdf7c12a8e1f/) ## Similar jobs at other companies ### [PhD Researcher, HCI & Visualization Research](https://jobs.opennash.com/companies/autodesk/jobs/f85e4e08323222bcb4fa/) Autodesk ### [2027 Research & Development PhD Program](https://jobs.opennash.com/companies/ppg/jobs/0f71c2cb3162902fd511/) PPG ### [Embedded AI Security Research Engineer (AI MSc / PhD / Postdoc) (m/f/d)](https://jobs.opennash.com/companies/nxp-semiconductors/jobs/572fa5fb7722f32d0cf0/) NXP Semiconductors ### [Senior ML Infrastructure Engineer - Embodied AI](https://jobs.opennash.com/companies/general-motors/jobs/9cbf6e36ef20b283191a/) General Motors ### [Research Analyst](https://jobs.opennash.com/companies/jones-lang-lasalle/jobs/9627fea786c85fbd3c9b/) Jones Lang LaSalle [Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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