About the Company
Infinite Orbits Luxembourg is the Luxembourg subsidiary of Infinite Orbits SAS (Toulouse, France), a NewSpace company founded in 2017 that now counts more than 200 colleagues across locations including Spain, Germany and the UK.
We develop in-orbit servicing solutions - from awareness, inspection, and protection of space assets to life extension and satellite servicing - built on our own Autonomous Vision-Based Solution.
IO has two generations of missions:
"Orbit Guard" provides Inspection and Space Situational Awareness services in GEO.
"Endurance" is a docking service capable of extending the life of GEO telecom satellites, by taking over AOCS takeover for 5 years.
Specifically, IO Luxembourg is focusing on the design, development, integration and testing of cutting-edge software playing a critical role in the missions as well as being responsible for Spacecraft Operations.
About the Role
We are seeking a Computer Vision Engineer with deep theoretical foundations and extensive experience in classical computer vision to join our space systems team in Luxembourg. This role requires a strong mathematical and optical background to solve complex engineering challenges on resource-constrained satellite payloads. You will design, prototype, test, verify, and validate algorithms embedded directly into spaceborne electronics for Space Domain Awareness (SDA), Space Situational Awareness (SSA), and Rendezvous and Proximity Operations (RPO) applications. Collaborating closely with multidisciplinary hardware and flight software teams, you will ensure full flight readiness, performance, and compliance with mission requirements.
Job Description
Architecting computer vision solutions (algorithm trade-offs, design, selection)
Prototyping, implementing, testing, validating, and verifying your solution based on the target hardware (either embedded space electronics or standard electronics).
Supporting Flight Software and Hardware Engineers to embed your solution.
Supporting final integration, testing, validation and qualification activities.
Preparing, writing and reviewing technical documentation, specifications, designs of your solution.
Requirements
Background: Degree in Computer Science, Physics, Mathematics, Optics, or a related technical field.
Work Experience: 5+ years of work experience in computer vision applications.
Classical CV Mastery: Strong background in non-learning computer vision techniques using OpenCV. Proficient in fundamental algorithms including spatial filtering, morphological transformations, thresholding, edge detection, and feature matching applied to real-world edge/embedded hardware.
Theory: Great knowledge of the fundamental optical concepts underpinning computer vision discipline: optics, image formation, image manipulation, radiometry, etc. Good understanding of detectors’ electro-optical properties and managing images at the pixel level.
Data Science & ML: Proven experience applying traditional supervised and unsupervised machine learning models to spatial, temporal, and cluster-based datasets.
Autonomy: Strong ability to work autonomously on your own initiative and without direct supervision
Communication: Excellent English proficiency with the ability to write and manage standard documentation, software documentation, and scientific documentation.
Nationality: EU nationality is mandatory due to project requirements.
Nice to have:
Experience in space system, space applications.
Any experience with star trackers, Earth observation payloads or in general optical sensor payloads
Experience in photogrammetry.
Experience in embedded systems.
Proficiency in C++ programming
What we offer
The opportunity to be part of an international team transforming the space industry.
A creative and innovative work environment where ideas turn into reality.
Competitive salary and benefits.