Humanoid Robot Learning Intern, Isaac Loco-Manipulation - 2027

Responsibilities

• Develop novel robot learning methods for advancing performance in humanoids and mobile manipulators for whole-body dexterous tasks.
• Co-develop and advance GR00T and Cosmos robotics foundation models.
• Develop robot-learning technologies to enable large scale deployment of robot autonomy.
• Lead an applied research project from idea conception, prototype development, publication, and software open-source contribution.
• What we need to see
• Pursuing a PhD degree or Master Degree in Robotics, Computer Science, or a related field.
• Proven strong robotics research or engineering experience through academic projects, publications, and real robot experience.
• Proficiency in Python and C++, with hands-on experience using deep-learning frameworks such as PyTorch, JAX, or TensorFlow.
• Experience with physics simulators like Isaac Sim, Isaac Lab, or MuJoCo and transferring data or behaviors between simulated and physical systems.
• Experience with world modeling and world action models.

Languages