Group Lead, AI Engineering for Robotics & Production ML

NEURA Robotics; Germany (OH); On-site; USD 140,000 - 210,000; Full time

Job summary

NEURA Robotics seeks a Group Lead AI Engineering to own a focused sub-team within the AI department. You set technical direction, make critical architectural decisions, and unblock your engineers, while remaining hands‑on enough to review work, challenge approaches, and demonstrate what great looks like.

Responsibilities include defining and executing the sub‑team roadmap, growing a high‑performance AI engineering team, driving research‑to‑production transitions, and collaborating with software,

Qualifications

• Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or related field.
• 7+ years hands‑on ML/robotics AI engineering, with at least 2 years in a formal or informal technical lead role.
• Strong command of vision‑based perception, manipulation & control, reinforcement / imitation learning, multimodal foundation models, or scalable MLOps.

Responsibilities

• Own the technical roadmap of your sub‑team: define goals, break into executable engineering tracks, align with AI/product strategy.
• Lead and grow a high‑performance team of AI engineers: recruit, interview, set expectations, mentor to senior roles.
• Drive research‑to‑production transitions: evaluate methods, assess feasibility, build bridges for real robot hardware deployment.
• Collaborate cross‑functionally with Software, Hardware and Product Management to align AI with platform requirements.
• Define and track engineering quality: testing standards, model evaluation pipelines, deployment metrics, data governance.

Skills

ML Engineering

Robotics AI

Leadership

Python

PyTorch

CI/CD

Cloud Infrastructure

Education

Master’s or PhD in Computer Science / Robotics / Electrical Engineering

Tools

IsaacSim

MuJoCo

PyTorch

Job description

NEURA Robotics seeks a Group Lead AI Engineering to own a focused sub-team within the AI department. You set technical direction, make critical architectural decisions, and unblock your engineers, while remaining hands‑on enough to review work, challenge approaches, and demonstrate what great looks like.

Responsibilities include defining and executing the sub‑team roadmap, growing a high‑performance AI engineering team, driving research‑to‑production transitions, and collaborating with software,