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

Details

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 mission is to build general-purpose embodied agents that learn to explore and master complex skills across the virtual and physical world.

You will work with a collaborative research team that produces influential work on multimodal foundation models, large-scale robot learning, game AI, and physical simulation. Past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and Project GR00T, a foundation model for humanoid robots. Your contributions will impact moonshot research projects and product roadmaps.

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 such as PyTorch, Jax, Tensorflow; Python or C++ required; CUDA or ROS proficiencies 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 in one or both of these fields:

Multimodal Foundation Models

• Hands-on training experience and publications in LLMs, large vision-language models, video generative models, diffusion algorithms, action-based transformers
• Excellent skills in 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
• 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, whole-body control
• Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim
• Robot hardware design and hands-on building experience

Benefits

• Base salary range $160,000 - $299,000 USD depending on location, experience, and peer pay
• Eligibility for equity and benefits
• NVIDIA is an equal opportunity employer, valuing diversity and inclusion across hiring and promotion practices.