Your 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)