Research Scientist, Generalist Embodied Agent Research - New College Grad 2025

$160,000 - $287,500/Yr

Nvidia - Santa Clara, CA

Full-time - Senior

Santa Clara, CA

Computer and Electronic Product Manufacturing

About the position

NVIDIA is seeking a research scientist to develop humanoid robot foundation models and systems within the Generalist Embodied Agent Research (GEAR) group. The role focuses on creating general-purpose embodied agents capable of mastering complex skills in both virtual and physical environments. The successful candidate will collaborate with a talented research team on influential projects related to multimodal foundation models, large-scale robot learning, and physical simulation, contributing to significant advancements in the field.

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 NVIDIA to transfer research to products and services.

Requirements

• Ph.D. in Computer Science/Engineering, Electrical Engineering, or equivalent research experience.
• Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.).
• Proficiency in Python or C++; 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.
• Deep understanding of robot kinematics, dynamics, and sensors; ability to safely operate robot hardware, lab equipment, and tools.

Nice-to-haves

• Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim.
• Robot hardware design and hands-on building experience.

Benefits

• Equity options
• Comprehensive health benefits
• Flexible work hours
• Diversity and inclusion programs