NVIDIA is seeking PhD interns to contribute to the development of Cosmos world foundation models and generative AI systems for Physical AI applications. The role focuses on advancing research in generative AI, multimodal foundation models, and embodied AI. Interns will collaborate with teams across AI, robotics, simulation, and graphics to publish research and integrate innovations into NVIDIA products. This position offers an opportunity to work at the forefront of technology in a highly regarded company.

• Currently pursuing a PhD in Computer Science, Electrical Engineering, Robotics, or related fields.
• Strong background in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning.
• Prior publication record and research experience.
• Strong Python and PyTorch skills.

• Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.
• Develop algorithms for video understanding and generation, action-conditioned simulation, multimodal reasoning, and policy learning.
• Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data.
• Collaborate with researchers and engineers across AI, robotics, simulation, and graphics teams.
• Publish research at top conferences and transfer innovations into NVIDIA products.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.