Hire, mentor, and grow a high-performing team of Robotic Foundation Model Application Engineers
Act as technical lead and escalation point for NeuraGym users: scope feasibility, choose algorithms, plan data collection
Oversee onboarding of users to the full NeuraGym pipeline: teleoperation, annotation, training, simulation, deployment and validation
Collaborate closely with on-site Robotics Engineers during data capture and experiments to ensure desired behavior and safety standards are met
Step in hands-on when the team hits hard blockers: review training scripts, identify data issues, help reproduce model bugs
Serve as the interface to our Cloud and AI teams, facilitating cross-functional collaboration and alignment
Aggregate lessons learned across all engagements and feed them into both the NeuraGym product roadmap and the Neura core AI roadmap
Define and track team KPIs (skill success rate, time-to-validated-skill, data efficiency)
Master's or PhD in Computer Science, Robotics, Electrical Engineering, or related field
5+ years hands-on machine learning experience in robotics — strong in at least two of: vision-based manipulation, reinforcement/imitation learning, or multimodal foundation models
2+ years of people management or formal technical leadership (tech lead, staff engineer, or team lead with direct reports)
Solid Python skills (C++ a plus); practical experience with PyTorch or TensorFlow
Comfortable working directly with real robot hardware and associated middleware
Cloud experience (AWS, Azure, or GCP) and robotic simulation tools (IsaacSim, MuJoCo, etc.) a plus
Proven ability to deliver complex, multi-month robotics projects with measurable outcomes
Clear communicator who can translate between researchers, engineers, and end-users; good command of English and German (B2–C1)
