Senior Classical Perception Engineer (Robotics)

Location: On-site in Metzingen / Riederich, Germany

Company

hirify.global develops robotic products whose AI capabilities rely on classical perception foundations.

What you will do

• Shape the technical direction of the classical perception stack by defining algorithms, architecture, and best practices and driving them into production.
• Design and implement perception pipelines for camera, depth, and LiDAR data, from raw sensor input to a usable world model.
• Develop geometric vision, point-cloud processing, state-estimation, and tracking algorithms, including stereo matching, registration, model-based pose estimation, filtering, and optimization.
• Own sensor calibration, time synchronization, and multi-sensor fusion while providing the geometric foundation for the AI team.
• Optimize pipelines for real-time execution on embedded hardware and improve robustness under real-world conditions.
• Set up evaluation, benchmarks, and ground truth; act as the classical-perception expert and mentor colleagues.

Requirements

• Master’s degree or PhD in computer science, robotics, electrical engineering, mathematics, physics, or a related field.
• 5+ years of hands-on experience building classical, model-based perception software for robots, machine vision, or comparable real-time systems.
• Deep knowledge of 3D geometry, camera models, and calibration.
• Strong background in estimation and optimization, such as Kalman filtering, RANSAC, or nonlinear least squares.
• Solid understanding of sensor physics and error sources for cameras, depth sensors, and LiDAR.
• Experience shaping technical concepts and taking them to production.
• Excellent modern C++ and good Python skills on Linux.
• Experience with OpenCV, PCL or Eigen, and ROS 2.
• Professional English is required.

Nice to have

• Experience with GPU acceleration or embedded platforms.
• German at B2 to C1 level.

Culture & Benefits

• Full-time, on-site work in Metzingen / Riederich, Germany.
• Collaboration with an AI team building on the classical perception stack.
• Mentorship and technical ownership in robotics perception.