Robotic Foundation Model Engineer (human)

About the role

\n\nYour mission & challenges • Act as hands-on trainer for NeuraGym users: design training curricula, scope task feasibility, and plan demonstration/data-collection sessions for robot skill acquisition • Onboard users to the full NeuraGym pipeline: teleoperation, annotation, training, simulation, deployment, and validation • Collaborate closely with robotics engineers during data capture and live demonstrations to ensure desired behaviors and safety standards are achieved • Guide users through model training and refinement: review training scripts, identify data quality issues, help reproduce and resolve learning failures; step in hands-on when a blocker persists • Serve as a key interface between trainees/users and the cloud and AI teams, facilitating collaboration and support where needed • Feed lessons learned from training sessions back into both the NeuraGym product roadmap and the Neura core AI roadmap What we can look forward to • Master's degree in Computer Science, Robotics, Electrical Engineering, or related field • 3+ years of hands-on experience in robot learning or physical AI training • Solid Python skills (C++ a plus); practical experience with PyTorch or TensorFlow • Comfortable working directly with real robot hardware, teleoperation setups, and associated middleware • Cloud experience (AWS, Azure, or GCP) and experience with robotic simulation tools (IsaacSim, MuJoCo, etc.) is a plus • Strong instructional and problem-solving abilities; able to manage multiple training projects in parallel • Clear communicator who can translate between researchers, engineers, and end-users, with good command of English and German (B2–C1 level)