Group Lead AI Engineering (Mensch)

The role

You will lead a focused AI engineering sub-team within NEURA's AI organization. You set the technical direction, make key architecture decisions, and help your team move research into production on real robotics hardware.

What you will do

• Own the technical roadmap of your team: set goals and turn them into engineering streams
• Lead and develop a team of AI engineers: hire top talent, conduct technical interviews, and grow people into senior engineers
• Drive the transfer of research to production so AI models run reliably on real robotics hardware
• Work cross-functionally with software, hardware, and product teams
• Define and monitor engineering quality standards: testing, model evaluation, deployment metrics, and data governance
• Get hands-on when your team hits complex blockers: review training runs, debug model behavior, and lead by example
• Feed learnings from projects back into the core AI roadmap

Required qualifications

• Excellent master's or PhD in computer science, robotics, electrical engineering, or a related field
• 7+ years of practical experience in ML or robotics AI engineering, including at least 2 years in a formal or informal technical lead role
• Experience with production systems is essential
• Solid expertise in at least two of: vision-based perception, manipulation and control, reinforcement or imitation learning, multimodal foundation models, scalable MLOps systems
• Very good Python skills, practical experience with PyTorch or JAX, and knowledge of cloud infrastructure (AWS, GCP, or Azure) and CI/CD for ML systems
• Proven ability to set technical direction, coach engineers, conduct code and design reviews, and make decisions under uncertainty
• Fluent English for negotiations

Nice to have

• C++ skills
• German at B2 to C1 level

About the company

NEURA is scaling its AI department to deliver its product roadmap. The company builds robotics products that rely on AI models running on real hardware.