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NEURA Robotics Linkedin · Posted 10d ago

Group Lead AI Engineering - NEURAGym (human)

Germany

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Indexed description

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)

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