In this role, you will shape perception for autonomous space systems, integrating with cross-functional teams to solve real-world navigation and inspection challenges. You will advance perception algorithms, from concept through validation to deployment, impacting mission-critical operations. You’ll work on cutting-edge CV/ML methods to enable robust sensing in demanding environments. This opportunity offers growth within a rapidly expanding deep-tech company and a hybrid work setup that values impact and collaboration.
Pay / Benefits
Flexible and hybrid working environment
Competitive salary and benefits package
Excellent opportunity for career growth
Dynamic, innovative culture
Responsibilities
Develop and refine computer vision algorithms for perception in autonomous spacecraft systems
Take CV algorithms from concept to testing, validation and deployment
Collaborate with cross-functional teams to integrate perception solutions into navigation and space systems
Contribute to software testing, integration, and repository workflows under Git-based processes
Apply knowledge of multi-sensor perception (camera, LiDAR) to fusion and robustness
Key requirements
Master in Computer Science, Aerospace Engineering, Robotics, or related STEM subject
5+ years of industry or research experience in computer vision
Strong understanding of computer vision, image processing, ML, and deep learning
Experience taking algorithms from concept through testing, validation, and deployment
Strong Python and C++ programming skills
Experience with OpenCV, PyTorch, TensorFlow, or similar frameworks
Knowledge of camera, LiDAR, or multi-sensor perception systems
Experience with software testing, integration, and Git-based development workflows
Nice to have: experience in robotics, autonomous systems, embedded software, or safety-critical environments
Nice to have: knowledge of sensor fusion, ROS/ROS2, navigation, or space systems
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