NVIDIA
PhD Research Intern, Generalist Embodied Agents Research - 2027
US, CA, Santa Clara +1 · Internship · Posted Oct 12, 2026
- Location
- US, CA, Santa Clara
US, Remote - Education
- Pursuing a PhD degree in Computer Science/Engineering, Electrical Engineering, etc.
About the job
Research and develop AI foundation models and systems for humanoid robots and general-purpose embodied agents, from training through simulation and deployment on robot hardware.
What you'll do
- Design and implement AI algorithms and models for humanoid robots and embodied agents.
- Develop large-scale training and inference methods; optimize and deploy models in simulation and on robot hardware.
- Collaborate across NVIDIA to transfer research into products and services.
What they ask for
- Pursuing a PhD in Computer Science/Engineering, Electrical Engineering, or a related field.
- Python proficiency and strong engineering skills in rapid prototyping and model-training frameworks.
- Experience with large-scale machine learning/AI systems and computer infrastructure.
- Experience in multimodal foundation models or robotics, including hands-on training experience and publications in the relevant area.
Nice to have
- C++ and CUDA proficiency.
- Familiarity with physics simulation frameworks such as Mujoco and Isaac suite.
Pay
38 USD - 94 USD hourly rate
Tools
PyTorch, Jax, Tensorflow, Python, C++, CUDA, Mujoco, Isaac suite
AI focus
Develop foundation models and AI systems for humanoid robots and embodied agents, including large-scale training and inference, simulation, and deployment on robot hardware.
Model-written summary · the original posting is authoritative