Humanoid Robot Learning Intern, Isaac Loco-Manipulation - 2027

China, ShanghaiInternship2026-09-15 → 2026-11-10

Core

Developing novel robot learning methods and advancing foundation models for humanoid and mobile robot autonomy in complex dexterous manipulation and loco-manipulation tasks.

Role type

Applied research intern (robotics/AI)

Builds

Robot learning technologies and foundation models (GR00T, Cosmos) for large-scale robot autonomy deployment.

Domain

Robotics, AI, Machine Learning

Deliverable

production ML models

Required skills

Robotics research, Deep learning, Python, C++, Physics simulation, World modeling, Robot learning (imitation/RL), Foundation models

Preferred skills

Publication record in top robotics/ML venues, Learning from human video/demonstration, Dexterous bimanual manipulation, Whole-body control

Technologies

PyTorch, JAX, TensorFlow, Isaac Sim, Isaac Lab, MuJoCo, GR00T, Cosmos

Responsibilities

Develop novel robot learning methods for whole-body dexterous tasks; Co-develop and advance robotics foundation models; Lead an applied research project from conception to open-source contribution.

Seniority

Intern

About NVIDIA

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to