This is a full-time role aimed at giving autonomous operation to individual robots by using multi-sensor fusion, navigation, mapping and semantic perception.
What you will do
- The complete robot's perception and heterogeneous signal processing pipeline
- Adaptive SLAM and navigation in unstructured, changing construction environments
- Semantic recognition of structures, materials and obstacles to inform robot behaviours
What we are looking for
- A Master's in Robotics, Computer Science, or a related field
- Professional experience delivering perception or navigation systems for autonomous robots or vehicles
- Hands-on experience with ROS 2, SLAM and sensor fusion
- Designing and deploying perception and navigation software on real robots
- Integrating and calibrating heterogeneous sensors such as LiDAR, cameras, IMUs and depth sensors
- Field testing in unstructured environments, with clear test reporting
- Working closely with hardware teams to bring autonomy features to production
Nice to have
- Experience with computer vision or deep learning
How to apply
Apply with the button below: send your CV (PDF or Word) and a short note. We read every application ourselves.