Senior Computer Vision Engineer at ClearSpace
ClearSpace is hiring a Senior Computer Vision Engineer in Luxembourg. On-site.
About ClearSpace
ClearSpace designs and operates spacecraft for in-orbit inspection and servicing of satellites. The company's spacecraft can approach assets closely to detect anomalies such as micrometeoroid impacts or thermal delamination, reducing mission risk and operational costs. ClearSpace also highlights the lack of debris-removal and towing capabilities in space, comparing it to a road network without tow trucks.
Senior Computer Vision Engineer job description
At ClearSpace, we believe in reusability, in affordability driving disruption, and that no progress is real unless it is sustainable.
Our company was founded in 2018 out of the realization that in-orbit servicing and space debris removal are vital services for the future of space exploration and operations. Today ClearSpace has assembled an expert engineering team and is leading the way toward sustainable space operations. From a garage in Switzerland, we now operate across UK and Europe, and are working with world-leading institutions and companies to bring our dream of a sustainable space ecosystem to life.
Role Purpose/Summary
ClearSpace is looking for a Senior Computer Vision Engineer to advance core vision technologies across different programs. The role involves the design, development, verification, and validation of computer vision pipelines for active debris removal, in-orbit servicing, and life-extension for LEO and GEO missions.
Role Responsibilities
- Contribute to the full lifecycle of computer vision pipelines, from design and development through verification and validation, across multiple missions.
- Maintain, improve and extend the core computer vision software in C++.
- Support the development and integration of vision algorithms on low-power, space-grade hardware
- Contribute to the research & development of new technology for future missions using different types of sensors and platforms.
- Document processes, designs, and test specifications to maintain high standards.
Must have
- Classical computer vision techniques and Deep Learning (6D object pose estimation, domain adaptation)
- Single and multi-view geometry, visual odometry, camera calibration, 3D reconstruction
- Strong software engineering skills in C/C++ and Python or Matlab for prototyping.
Nice to have
- A plus: physically based rendering, knowledge of radiometry and photometry concepts, FPGA development/integration (Xilinx Vitis/Vivado), embedded systems.
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