Research Intern, Robotics - Summer 2027
Core
Developing algorithms, foundation models, and methods for robotic manipulation and loco-manipulation for industrial, scientific, and household applications.
Role type
PhD-candidate research intern (robotics & AI)
Builds
Real-world robotic manipulation systems including collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands.
Domain
Robotics, Machine Learning, Computer Vision
Deliverable
production ML models | research
Required skills
Robotics theory and practice, Deep learning (PyTorch/JAX), Python, AI agents, Robotics frameworks (ROS2), Physics simulation (Isaac Sim/Lab/Newton/MuJoCo)
Preferred skills
C++, CUDA, Warp, Bimanual/dexterous manipulation, Mobile manipulation, Humanoid loco-manipulation, Multimodal robot learning, Robot foundation models, Agentic robotics, Scientific lab automation
Responsibilities
Developing algorithms for robotic manipulation and loco-manipulation; Integrating methods into real-world robotic systems; Contributing to multi-person research projects; Engaging with the academic community via publications and code releases; Developing AI agents to accelerate research and engineering.
Seniority
PhD candidate, hands-on research
