[Remote] Research Scientist, Generalist Embodied Agent Research - PhD New College Grad 2026

Note: The job is a remote job and is open to candidates in USA. NVIDIA is searching for an outstanding research scientist to build humanoid robot foundation models and systems in the Generalist Embodied Agent Research (GEAR) group. The role involves designing and implementing novel AI algorithms for humanoid robots, developing AI training methods, and collaborating with teams to transfer research into products. Responsibilities Design and implement novel AI algorithms and models for general-purpose 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 all of NVIDIA to transfer research to products and services Skills Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.). Python or C++ is required; CUDA or ROS proficiencies are a plus Excellent knowledge and hands-on experience for training LLMs, multimodal foundation models, or large generative models Experience in foundation and diffusion models, reinforcement learning, agent learning, and applied robotics Experience across one or both of these fields: Multimodal Foundation Models Hands-on training experience and publications in at least one of the following topics: LLMs; Large vision-language models; Video generative models and diffusion algorithms; Action-based transformers Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure Robotics Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc Deep understanding of robot kinematics, dynamics, and sensors Ability to safely operate robot hardware, lab equipment, and tools Knowledge of control methods, including PID, model predictive control, and whole-body control Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim Robot hardware design and hands-on building experience Benefits Equity Benefits Company Overview NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship NVIDIA has a track record of offering H1B sponsorships, with 1877 in 2025, 1355 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.