Build humanoid robot foundation models and systems to achieve general-purpose embodied agents that learn to explore and master complex skills across the virtual and physical world.
Requirements
- Python
- PyTorch, Jax, Tensorflow
- C++ and CUDA proficiencies
- Experience with multimodal foundation model or robotics
- Multimodal foundation models (LLMs, vision-language models, video generative models, diffusion models, and action-based transformers)
- Robotics (reinforcement learning, imitation learning, classical control methods)
- Robot kinematics, dynamics, and sensors
- Control methods (PID, MPC, whole body control)
- Familiarity with physics simulation frameworks (Mujoco and Isaac suite)
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
Other
- Pursuing a PhD degree in Computer Science/Engineering, Electrical Engineering, etc.
