Group Lead AI Engineering (human)

Neura Robotics; Zaragoza; On-site; EUR 90,000 - 140,000; Full time

Job summary

Neura Robotics in Zaragoza, Spain, seeks a Group Lead AI Engineering to own a sub‑team, set technical direction, review work, and unblock engineers while staying hands‑on for critical reviews.

You’ll define the team's roadmap, recruit and mentor engineers, and drive research‑to‑production transitions with Software, Hardware and Product teams. Strong Python, PyTorch/JAX, cloud CI/CD, and English are required; German is a plus.

Qualifications

• Advanced degree required in CS/Robotics/EE.
• 7+ years ML or robotics AI engineering.
• 2+ years in technical lead role; production systems experience.
• Experience with vision-based perception or manipulation and control.
• Strong English; German a plus.

Responsibilities

• Own the technical roadmap of your sub-team; define goals and tracks.
• Lead and grow a high-performance AI engineering team; recruit and mentor.
• Drive research-to-production transitions; evaluate methods; bridge to hardware.
• Collaborate cross-functionally with Software, Hardware and Product teams.
• Define and track engineering quality; establish pipelines and governance.
• Step in hands-on when blockers arise; review training runs and debugging.
• Aggregate lessons learned into the AI roadmap.

Skills

Team leadership

Hands-on ML

Technical leadership

Communication

Python

C++

PyTorch

JAX

Cloud platforms

CI/CD for ML

Vision-based perception

Manipulation & control

Reinforcement learning

Imitation learning

MLOps

IsaacSim

MuJoCo

German (B2-C1)

Education

Master's or PhD in CS/Robotics/EE

Tools

IsaacSim

MuJoCo

PyTorch

JAX

Job description

YOUR MISSION & CHALLENGES

NEURA is scaling its AI department to execute on our product roadmap. As Group Lead AI Engineering, you 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.

• Own the technical roadmap of your sub-team: define goals, break them into executable engineering tracks, and ensure alignment with the broader AI and product strategy.

• Lead and grow a high-performance team of AI engineers: recruit top talent, conduct technical interviews, set performance expectations, and develop individual contributors into senior engineers.

• Drive research-to-production transitions: evaluate state-of-the-art methods, assess feasibility, and build the engineering bridges that get AI models running reliably on real robot hardware.

• Collaborate cross-functionally with Software, Hardware and Product Management to align AI capabilities with platform requirements and customer use cases.

• Define and track engineering quality: establish testing standards, model evaluation pipelines, deployment metrics, and data governance practices for your domain.

• Step in hands‑on when your team hits hard blockers: review training runs, debug model behavior, challenge architectural assumptions, and lead by example in solving hard problems.

• Aggregate lessons learned and feed them back into the core AI roadmap

WHAT WE CAN LOOK FORWARD TO

• An excellent Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field

• 7+ years of hands‑on ML or robotics AI engineering, with at least 2 years in a formal or informal technical lead role. Production systems experience is essential.

• Strong command of at least two of: vision-based perception, manipulation & control, reinforcement / imitation learning, multimodal foundation models, or scalable MLOps.

• Strong Python (C++ is a plus); 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 (IsaacSim, MuJoCo, or equivalent). You understand that real-world deployment is the only true test.

• Proven ability to set technical direction, mentor engineers, conduct code and design reviews, and make decisions under uncertainty.

• You translate between researchers, product managers, and hardware engineers without losing precision. Professional English required; German is a strong plus (B2–C1).