Research Scientist, Generalist Embodied Agent Research - New College Grad 2026

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 producing work on multimodal foundation models, large-scale robot learning, game AI, and physical simulation (examples: Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, Project GR00T).

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 (examples: PyTorch, JAX, TensorFlow). Python or C++ is required; CUDA or ROS proficiencies are a plus.
• Excellent knowledge and hands-on experience training LLMs, multimodal foundation models, or other large generative models.
• Experience in foundation and diffusion models, reinforcement learning, agent learning, and applied robotics.
• Experience in one or both of the following areas:
  • Multimodal Foundation Models: hands-on training experience and publications in topics such as LLMs, large vision-language models, video generative models and diffusion algorithms, action-based transformers; strong skills with large-scale ML/AI systems and compute infrastructure.
  • Robotics: hands-on training experience and publications in robot learning (reinforcement learning, imitation learning, classical control methods); deep understanding of robot kinematics, dynamics, and sensors; ability to safely operate robot hardware and lab equipment; knowledge of control methods (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.

Compensation & Timeline

• Base salary range: 160,000 USD - 258,750 USD for Level 3, and 184,000 USD - 299,000 USD for Level 4. Final base salary will be determined based on location, experience, and internal pay equity.
• Eligible for equity and benefits.
• Applications accepted at least until December 15, 2025.

Benefits

• Equity and NVIDIA benefits (link referenced in original posting). NVIDIA is an equal opportunity employer committed to diversity and inclusion.