Group Lead AI Engineering (human)

The role

You will own the technical roadmap of an AI sub-team and lead a group of AI engineers. You will move research models into production on real robot hardware and work across software, hardware and product teams.

What you will do

• Own the technical roadmap of your sub-team and break goals into engineering tracks.
• Recruit, interview, mentor and grow a team of AI engineers.
• Move research methods into reliable production on real robot hardware.
• Work with Software, Hardware and Product Management on platform needs and customer use cases.
• Set testing standards, model evaluation pipelines, deployment metrics and data governance for your domain.
• Step in on hard blockers: review training runs, debug model behavior and challenge architecture decisions.
• Feed lessons learned back into the core AI roadmap.

Required qualifications

• Master's or PhD in Computer Science, Robotics, Electrical Engineering or a related field.
• 7+ years of hands-on ML or robotics AI engineering.
• At least 2 years in a formal or informal technical lead role.
• Production systems experience.
• Strong command of at least two of: vision-based perception, manipulation and control, reinforcement or imitation learning, multimodal foundation models, scalable MLOps.
• Strong Python.
• Practical PyTorch or JAX experience.
• Familiarity with cloud infrastructure (AWS, GCP or Azure) and CI/CD for ML systems.
• Comfort working with real robot hardware and simulation environments such as IsaacSim or MuJoCo.
• Proven ability to set technical direction, mentor engineers, conduct code and design reviews and decide under uncertainty.
• Professional English.

Nice to have

• C++.
• German at B2 to C1 level.

About the company

NEURA is scaling its AI department to execute on its product roadmap. The company builds robots, and this role supports getting AI models running on that hardware.