PhD Research Intern, Generalist Embodied Agents Research

This is a fully remote position, open to applicants in California.

📋 Description

• Create and execute innovative AI algorithms and models for general-purpose humanoid robots and embodied agents.

• Develop extensive AI training and inference methodologies for foundational models.

• Enhance and deploy AI models within physical simulations and on robotic hardware.

• Work in collaboration with research and engineering teams throughout NVIDIA to translate research into products and services.

⛳️ Requirements

• Currently pursuing a PhD in Computer Science/Engineering, Electrical Engineering, or related fields.

• Exceptional engineering abilities in rapid prototyping and model training frameworks (such as PyTorch, Jax, TensorFlow, etc.).

• Proficiency in Python is mandatory; skills in C++ and CUDA are advantageous.

• Strong capabilities in handling large-scale machine learning/AI systems and computer infrastructure.

• Experience with multimodal foundation models or robotics is required.

• Practical training background and publications in LLMs, vision-language models, video generative models, diffusion models, or action-based transformers, or in robot learning.

• Comprehensive knowledge of robot kinematics, dynamics, and sensors.

• Competence in safely operating robotic hardware, laboratory equipment, and tools.

• Understanding of control techniques such as PID, MPC, and whole body control.

• Familiarity with physics simulation frameworks like Mujoco and the Isaac suite.

🏝️ Benefits

• Intern benefits