About the role#
NVIDIA is looking for a PhD research intern to join the Generalist Embodied Agent Research (GEAR) group. The team builds foundation models and systems for humanoid robots. You will work on general-purpose agents that learn to master skills in both virtual and physical environments. Your work will contribute to research projects and product roadmaps.
What you'll do#
- Design and implement AI algorithms and models for humanoid robots and embodied agents.
- Develop training and inference methods for large-scale foundation models.
- Optimize and deploy models in physics simulations and on actual robot hardware.
- Work with research and engineering teams to move research into products and services.
What you'll need#
- Current enrollment in a PhD program for Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Strong engineering skills in rapid prototyping and model training frameworks like PyTorch, Jax, or Tensorflow.
- Proficiency in Python.
- Experience with large-scale machine learning systems and infrastructure.
- Background in either multimodal foundation models or robotics.
- For multimodal models: hands-on training experience and publications in LLMs, vision-language models, video generative models, diffusion models, or action-based transformers.
- For robotics: hands-on training experience and publications in reinforcement learning, imitation learning, or classical control.
- Knowledge of robot kinematics, dynamics, and sensors.
- Familiarity with control methods such as PID, MPC, and whole-body control.
- Experience with physics simulation frameworks like Mujoco or the Isaac suite.
- Ability to safely operate robot hardware and lab equipment.
- C++ and CUDA skills are a plus.
Location & details#
- Term: Summer 2027.
- Work modality: Remote or on-site in Santa Clara, California.
- Employment type: Full-time paid internship.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
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