Robotics Simulation and Evaluation PhD Intern - Summer 2027

Responsibilities

• Work closely with experts in robotics and machine learning to scope a ch project that is both scientifically novel and relevant to NVIDIA's robotics roadmap.
• Design, implement, and evaluate new robot learning methods using GPU-accelerated simulation and, where appropriate, real robot hardware.
• Run rigorous experiments: build strong baselines, design evaluation protocols, ablate your ideas, and communicate clearly.
• Write clean, well-documented research code that other team members can build on.
• Collaborate with researchers and internal product teams to transfer your research into NVIDIA products and platforms.
• Deliver results as prototypes, patents, product contributions, and publications at top-tier venues.
• What we need to see
• Currently enrolled in a Ph.D. program in Computer Science, Electrical Engineering, Robotics, or a related field.
• Research experience in one or more of the following: agentic policies, world action models, robot policy training and evaluation, or sim-to-real transfer, demonstrated through publications, preprints, a thesis, or open-source projects.
• Strong Python skills and hands-on development experience with a modern deep learning framework (e.g., PyTorch, JAX).

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