Robotics Simulation and Evaluation PhD Intern - Summer 2027
Core
Develop novel approaches to agentic robot policies, world action models, robot policy training and evaluation, and sim-to-real transfer using GPU-accelerated simulation.
Role type
PhD intern in robotics simulation and evaluation
Builds
NVIDIA's robotics and simulation platforms
Domain
Robotics and Machine Learning
Deliverable
production ML models
Required skills
Python, deep learning frameworks (PyTorch, JAX), robot learning, GPU-accelerated simulation, research design, experimental evaluation
Preferred skills
Reinforcement learning, imitation learning, large vision-language-action (VLA) models, world models, real robot hardware deployment, multi-GPU training, open-source contributions
Technologies
PyTorch, JAX, PhysX, Isaac Gym, Isaac Lab, Newton, MJX
Responsibilities
Scope scientifically novel projects, design and implement robot learning methods, run rigorous experiments and ablations, write documented research code, collaborate on product transfer, deliver prototypes and publications
Seniority
PhD student (Research Intern)
