Jobs

This role focuses on developing and optimizing learning-based robotic manipulation control stacks and teleoperation systems. The successful candidate will train and deploy robotic policies using reinforcement and imitation learning, while also minimizing the sim-to-real gap. We are looking for an individual with a passion for robotics engineering, exceptional ownership, and extensive experience (5+ years) in building and deploying real-world learning-based robotic systems, proficient in Python or C++.