About the role
Your mission & challenges
- Technical direction: You shape the technical direction of our classical perception stack. You define algorithms, architecture and best practices, and drive them into the product.
- Perception pipelines: You design and implement perception pipelines for camera, depth and LiDAR data, from raw sensor input to a usable world model.
- Geometric vision & point clouds: You develop geometric vision and point cloud processing algorithms, such as stereo matching, registration and model-based pose estimation.
- Calibration & fusion: You own sensor calibration, time synchronization and multi-sensor fusion.
- State estimation: You develop state estimation and tracking based on filtering and optimization methods.
- Real-time performance: You make sure pipelines run in real time on embedded hardware and stay robust under real-world conditions.
- Evaluation & benchmarks: You set up evaluation, benchmarks and ground truth, and drive measurable improvements in precision and robustness.
- Geometric foundation: You provide the geometric foundation (calibration, 3D data, poses) that the AI team builds on.
- Expert & mentor: You act as the go-to expert for classical perception and mentor your colleagues.
What we can look forward to
- Education: A Master’s degree or PhD in computer science, robotics, electrical engineering, mathematics, physics or a related field.
- Experience: 5+ years of hands-on experience building classical, model-based perception software for robots, machine vision or comparable real-time systems.
- 3D geometry: Deep knowledge of 3D geometry, camera models and calibration.
- Estimation & optimization: A strong background in estimation and optimization, e.g. Kalman filtering, RANSAC or nonlinear least squares.
- Sensor physics: A solid understanding of sensor physics and the error sources of cameras, depth sensors and LiDAR.
- Track record: Experience shaping technical concepts and taking them to production.
- Programming: Excellent modern C++ and good Python skills on Linux.
- Libraries & frameworks: Experience with libraries such as OpenCV, PCL or Eigen, and with ROS 2.
- Nice to have: Experience with GPU acceleration or embedded platforms.
- Languages: Professional English is required. German at B2 to C1 level is a plus.