Robotics Software Engineer (Calibration Tooling)

Robotics Software Engineer - Calibration Tooling (Contract)

Location: London or Germany (Hybrid - 1 day onsite)

Rate: Flexible

Contract: 6 Months

My client is one of Europe's fastest-growing AI companies, developing next-generation autonomous driving technology.

Backed by over $1bn in funding , they're building advanced AI systems that enable vehicles to understand and navigate complex real-world environments.

As they continue to scale, they're investing in the tooling and infrastructure that supports their robotics and calibration teams.

What You'll Be Doing

• Build tooling for robotics calibration, diagnostics and debugging
• Develop reporting and visualisation tools for algorithm outputs
• Create software that helps engineers investigate and triage system behaviour
• Work closely with robotics engineers to improve engineering workflows
• Build automation around reporting and diagnostics where appropriate
• Document solutions and contribute to long-term tooling improvements
• Primarily develop in Python , with some C++ where required

What They're Looking For

• Strong commercial experience with Python (C++ beneficial)
• Background in robotics software engineering
• Experience building engineering tooling, diagnostics or visualisation platforms
• Knowledge of robotics systems such as SLAM, perception, localisation, planning or calibration
• Strong problem-solving skills and ability to work independently
• Experience working in production robotics or autonomous systems environments

Nice to Have

• Camera or LiDAR calibration experience
• Autonomous vehicles or robotics platforms
• Experience with reporting, workflow automation or diagnostic tooling

Why Join?

• Join one of Europe's leading AI and autonomous vehicle companies
• Work on cutting-edge robotics technology with real-world impact
• High-rate contract on a fast-moving engineering programme
• Collaborative team working alongside world-class robotics engineers
• Opportunity to influence tooling used across a growing autonomous driving platform