Computer Vision & Autonomy Engineer
redwirespaceeurope Open · verified Oct 22, 2026 At a glance
Mid-level Machine Learning Engineering role at redwirespaceeurope. Luxembourg, Luxembourg.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build vision methods for spacecraft-relative navigation, estimating pose and identifying, segmenting or following objects
- Use classical vision, geometric methods across views, neural networks and state estimation together
- Generate simulated imagery and synthetic datasets to develop algorithms and check their performance
- Choose cameras, optics, sensors and embedded processors, then integrate them into robotic testbeds
- Set subsystem measures and verify performance in model, software and processor testing environments
What you bring
- A graduate degree in aerospace, computing, mechatronics, robotics or a related discipline
- Relevant professional or research experience in vision, robotics, autonomy or machine perception
- Strong C++ and Python ability, plus substantial use of OpenCV and PyTorch
- Practical sensor-calibration and pose-estimation skills, with evidence of object detection, segmentation or tracking work
Who this fits
This mid-level, hands-on role suits a computer vision engineer ready to lead a subsystem through algorithm work, hardware integration and verification. You need a police or criminal-record check issued within the preceding six months and ITAR approval to accept the role and relocate.
From the employer
Join the Redwire Space team in developing and fielding end-to-end innovative mission critical space system solutions for next generation space architecture. At Redwire, you will work closely with customers from concept development through mission operations to ensure mission success.
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
Interested, but not sure you meet every single requirement? Research shows that men will apply to jobs when they meet only 60% of the requirements, but women and other minority groups may only apply if they're sure they meet 100%. If you were turning away because you don't meet 100%, well, we'd still like to hear from you - tell us how you're the best fit for the requirements you're sure you meet.
To accept positions and relocate to Redwire Space, candidates must
- have a police/criminal record check, that is not more than six months old.
- be approved by ITAR regulations.
- be uploaded to the greenhouse portal.
- apply directly or be uploaded by a recognized partner.