Group Lead AI Engineering - NEURAGym (human)

Your mission & challenges

• 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)

What we can look forward to

• 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)