Research Intern, Robotics

What you'll do

• Develop algorithms and foundation models for robotic manipulation and loco-manipulation across industrial and household applications.
• Integrate advanced robotics methods into real-world systems including collaborative arms, mobile manipulators, humanoids, and dexterous hands.
• Contribute to multi-person research projects involving the full robotics and machine learning stack.
• Publish high-impact research in top robotics and AI conferences, workshops, and through code releases.
• Develop AI agents to accelerate research and engineering while ensuring correctness, reproducibility, and security.
• Design robust workflows for model training and evaluation using modern deep learning frameworks like PyTorch or JAX.
• Debug physics simulators and renderers while managing the complexities of sim-to-real transitions.
• Maintain and enhance complex robotics hardware and debug underlying communication systems.

What we're looking for

• Enrollment in a PhD program in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Knowledge of both the theory and practice of robotics and AI with an interest in real-world applications.
• A demonstrated track record with first-author work published in top robotics and AI conferences and journals.
• Exceptional communication, collaboration, and interpersonal skills with significant experience working on a team.
• Exceptional programming skills in Python.
• Fluency in modern deep learning frameworks such as PyTorch or JAX.
• Experience with robotics frameworks like ROS2 and physics simulation frameworks such as Isaac Sim, Isaac Lab, Newton, and/or MuJoCo.
• Familiarity with C++, CUDA, and Warp (preferred).