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