Robotics Simulation and Evaluation PhD Intern - Summer 2027

Overview

• Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing.
• An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
• Doing what’s never been done before takes vision, innovation, and the world’s best talent.
• As an NVIDIAN, you’ll be immersed in an inclusive, encouraging environment where everyone is inspired to do their best work.
• Come join the team and see how we can make a lasting impact on the world.
• We are looking for dedicated interns to join our robotics team.
• You will develop novel approaches to agentic robot policies, world action models, robot policy training and evaluation, and sim-to-real transfer, working alongside the researchers and engineers who build NVIDIA's robotics and simulation platforms.
• Our internships are an excellent opportunity to grow as a researcher and gain hands-on experience with industry-leading robotics teams.
• We are looking for curious, ambitious, and collaborative individuals who take ownership of open-ended problems and are excited to help us tackle challenges no one else can solve.
• What you'll be doing 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).
• Strong written and verbal communication skills, including presenting research results to both experts and non-experts.
• Ways to stand out from the crowd First-author publications at top robotics and machine learning venues (e.g., CoRL, RSS, ICRA, IROS, NeurIPS, ICML, ICLR, CVPR).
• Deep expertise in robot learning: reinforcement learning, imitation learning, or training and fine-tuning large vision-language-action (VLA) or world models for robotics.
• Deep expertise in GPU-accelerated physics simulation (e.g., PhysX, Isaac Gym / Isaac Lab, Newton, MJX), including building simulation environments, assets, or domain randomization pipelines.
• Experience deploying learned policies on real robot hardware (manipulators, humanoids, or mobile robots) and closing the sim-to-real gap.
• Experience with large-scale, multi-GPU training and data pipelines with contributions to open-source robotics or simulation projects.
• NVIDIA is widely considered to be one of the technology world’s most desirable employers.
• We have some of the most forward-thinking and hardworking people in the world working for us.
• If you're creative and autonomous, we want to hear from you!.