Robotics Research Intern - 2026
Core
Developing algorithms, models, and methods for robotic manipulation and loco-manipulation for industrial and household applications, integrating them into real-world systems including collaborative robot arms, mobile manipulators, and humanoids.
Role type
PhD research intern (robotics & machine learning)
Builds
Robotic manipulation systems, simulation environments, and research publications
Domain
Robotics, Machine Learning, Computer Vision, Physics Simulation
Deliverable
production ML models | research
Required skills
Robotics theory and practice, Deep learning (PyTorch, JAX), Robotics frameworks (ROS2), Physics simulation (Isaac Sim, MuJoCo, Newton), Python programming, C++/CUDA familiarity
Preferred skills
Experience with bimanual/dexterous manipulation, Mobile manipulation, Vision-language-action (VLA) models, Sim-to-real transfer
Technologies
PyTorch, JAX, ROS2, Isaac Sim, Isaac Lab, MuJoCo, Newton, CUDA, Warp
Responsibilities
Develop algorithms for robotic manipulation and loco-manipulation; Integrate methods into real-world robotic systems; Contribute to multi-person research projects; Engage with the academic community through publications and code releases
Seniority
PhD candidate (Research Intern)
