This role focuses on building foundation models for robotics using reinforcement learning, generative modeling, and imitation learning to create an end-to-end self-driving system. The engineer will leverage large-scale driving data and integrate directly with vehicle firmware to ship safety-critical software to millions of customers.

AI Engineer focused on the manipulation stack for humanoid robots (Optimus). The role involves designing, developing, and deploying learned robotic manipulation software and algorithms, including grasping, pick-and-place, and dexterous behaviors. It requires experience in deep imitation learning or reinforcement learning, training and deploying real-world neural networks, and working with C++/Python, robotics, and 3D computer vision.