Robotics Architect

About the role

You will join a long‑term initiative with a globally recognised industry leader, focusing on physical AI and multi‑fleet management for outdoor vehicles. This position sits at the intersection of robotics, artificial intelligence and real‑world hardware, delivering solutions that move beyond simulation into production.

Key responsibilities

• Define and lead the end‑to‑end architecture of robotics solutions across software, hardware, simulation and cloud environments.
• Drive technical direction and support engineering teams throughout the full development lifecycle.
• Establish reusable architectural patterns, engineering standards and best practices for robotics projects.
• Evaluate and recommend technologies, tools and platforms for scalable robotics systems.
• Collaborate with clients and stakeholders during technical discovery, solution design and architecture reviews.
• Support validation and deployment of robotics systems in simulated and real‑world environments.
• Mentor engineers and foster technical excellence within the robotics team.
• Research emerging robotics technologies and translate them into practical engineering solutions.

Required profile

• Advanced experience in robotics system architecture and leading complex robotics projects.
• Strong expertise in C/C++ and Python for production‑grade applications.
• Proficiency with ROS/ROS2 and domains such as perception, SLAM, localisation, mapping and motion planning.
• Advanced knowledge of mobile robotics, autonomous platforms or industrial automation.
• Hands‑on experience with simulation tools, computer vision, sensor integration and real‑time systems.
• Solid understanding of software engineering practices, testing, CI/CD and Linux development.
• MSc or Ph.D. in Computer Science, Robotics, Mechatronics, Electrical Engineering or related field.
• Advanced English proficiency; professional German proficiency for Germany‑based candidates.

Required skills

• C/C++
• Python
• ROS / ROS2
• Perception
• SLAM
• Localization
• Mapping
• Motion planning
• Mobile robotics systems
• Autonomous platforms
• Industrial automation
• Simulation tools
• Computer vision
• Sensor integration
• Real‑time robotic systems
• Software engineering practices
• Testing
• CI/CD
• Linux development