NVIDIA is seeking a research intern to contribute to the development of humanoid robot foundation models and systems within the Generalist Embodied Agent Research (GEAR) group. The team focuses on creating general-purpose embodied agents capable of mastering complex skills in both virtual and physical environments. Interns will collaborate with a talented research team known for their impactful work in multimodal foundation models and robot learning. This position offers the opportunity to make significant contributions to innovative research projects and product development.

• Pursuing a PhD degree in Computer Science/Engineering, Electrical Engineering, or a related field.
• Outstanding engineering skills in rapid prototyping and model training frameworks such as PyTorch, Jax, or TensorFlow.
• Proficiency in Python is required, with C++ and CUDA being a plus.
• Excellent skills in working with large-scale machine learning/AI systems and computer infrastructure.
• Experience in multimodal foundation models or robotics.

• Design and implement novel AI algorithms and models for humanoid robots and embodied agents.
• Develop large-scale AI training and inference methods for foundation models.
• Optimize and deploy AI models in physical simulation and on robot hardware.
• Collaborate with research and engineering teams across NVIDIA to transfer research to products and services.

• 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.