Redwire’s Luxembourg City facility is Made for the Mission, designing and developing advanced robotic arms that enable critical operations for orbital and free-flying spacecraft. These robotic systems support a wide range of mission needs, including satellite servicing, refuelling, payload management, and in-space manufacturing. The facility’s engineering expertise also drives innovation in debris capture and other emerging on-orbit servicing applications. Through this work, the Luxembourg team is helping build the robotic infrastructure essential for a more sustainable and capable space economy. 
Redwire Space Luxembourg, seeks a results-driven Computer Vision & Autonomy Engineer to contribute to the development of cutting-edge robotic systems.  We are looking for a Space Computer Vision & Autonomy Engineer to develop sensing and navigation solutions for European space and defence programmes, including projects with ESA and EDA. You will work primarily on relative visual and multi-modal navigation for rendezvous and proximity operations, as well as space-based object detection and tracking for Space Situational Awareness.
This is a hands-on, mid-level position for a strong computer vision engineer who wants to own a subsystem from algorithm development through hardware integration and verification. The role offers a path toward senior engineering and technical leadership. Your expertise will drive mission success from initial development through on-orbit validation.

Responsibilities:

•    Develop computer vision algorithms for relative navigation, pose estimation, object detection, segmentation, and tracking.
•    Combine classical computer vision, multi-view geometry, neural networks, and state-estimation methods.
•    Build visual simulations and synthetic-data pipelines for algorithm development and testing.
•    Select cameras, lenses, sensors, and embedded compute platforms.
•    Integrate cameras and computer vision software with representative hardware and robotic RPOD testbeds.
•    Develop laboratory test setups and conduct laboratory or field-test campaigns.
•    Define performance metrics and own subsystem verification through model-in-the-loop, software-in-the-loop, and processor-in-the-loop testing.
•    Analyse requirements, define subsystem interfaces, and maintain traceability between requirements and tests.
•    Contribute to data provenance and interoperability solutions for European space and defence applications.
•    Present technical decisions and results to ESA, EDA, customers, partners, and subcontractors, with support from the wider team.

What we are looking for:

•    A master’s degree or higher in aerospace engineering, computer science, mechatronics, robotics, or a related discipline.
•    Relevant professional or applied research experience in computer vision, robotics, autonomous systems, or machine perception.
•    Strong programming skills in C++ and Python.
•    Strong experience with OpenCV and PyTorch.
•    Strong understanding of classical computer vision and multi-view geometry.
•    Practical experience with sensor calibration and pose estimation.
•    Demonstrable experience in object detection, segmentation, or tracking.
•    Experience with at least one visual simulator or synthetic-data generation environment.
•    Good understanding of Kalman filtering or nonlinear state estimation.
•    Experience selecting imaging hardware and integrating cameras with embedded compute platforms.
•    Experience developing laboratory test setups and evaluating algorithms on representative hardware.
•    A practical approach to writing maintainable, tested, and well-documented software.
•    Ability to communicate technical decisions, limitations, and results clearly.

Desired Skills:

•    Visual odometry, SLAM, or sensor fusion
•    Relative visual navigation or RPOD
•    Space-based SSA or orbital simulation
•    ROS or ROS 2
•    Gazebo, Isaac Sim, Omniverse, Unreal Engine, Blender, or equivalent simulation tools
•    Domain adaptation between synthetic and real imagery
•    ONNX, TensorRT, CUDA, or embedded AI deployment
•    Transformers or vision-language models
•    Embedded Linux or real-time systems
•    Multi-sensor systems or alternative sensing modalities
•    ESA, EDA, ECSS, or formal requirements-engineering experience
•    Data provenance, defence interoperability, or data standards