Description
We are seeking exceptional machine learning interns to join our world-class robotics initiatives focused on humanoid loco-manipulation. As part of the Isaac Loco-Manipulation team, you'll collaborate with industry-leading experts, contribute to robotics foundation models including GR00T and Cosmos, and help advance the future of humanoid robot capabilities.
Your responsibilities will include: Collaborating with researchers and engineers on focused projects in humanoid robotics loco-manipulation and mobile manipulation areas. Supporting the development and advancement of GR00T and Cosmos foundation models. Helping develop reference workflows with Isaac Lab and Newton for humanoid and mobile manipulation dexterous tasks. Advanced technologies for robot learning and synthetic data generation using human videos. Designing, implementing, and testing novel algorithms for humanoid robot locomotion and manipulation in both simulated and real-world environments. Driving a scoped internship project from model/algorithm design and sim-to-real transfer through to on-robot validation, with the potential for open-source contributions or publications. Collaborating cross-functionally with teammates and partners to share findings and advance shared goals.