About Lúnasa:
únasa is a UK-based NewSpace company (acquired by Infinite Orbits) building advanced and autonomous systems and satellites for in-orbit satellite services. Our mission is to provide geostationary operators with all the in-orbit services they need, from the inspection of their assets to the extension of their lifespan and the management of the end-of-life phase.
The company has received multiple contracts from the UK Space Agency and ESA to build and deploy AI-based satellite rendezvous proximity operations (RPO) technology and is set to demonstrate the innovation in space by 2027.
Location: London
Salary: Competitive
This role is held in person
Job Summary:
We are looking for an experienced and confident Computer Vision Engineer to join our growing team, supporting our on-going development in autonomous vision-based satellite navigation solutions. This role involves low-level software development using AI/ML techniques, using our in-house built simulators and digital twins for validating the software, integrating software and hardware, and testing using our dark room robotics lab.
What We’re Looking For:
We’re looking for an energetic, self-starter who thrives in dynamic environments, enjoys wearing many hats, and brings a proactive approach to everything they do. You’re someone who naturally takes initiative with a can-do personality and enjoys being at the heart of a fast-paced startup.
Role and Responsibilities:
- Strong experience in Computer Vision and image processing
- Proficiency in Python for CV/ML applications
- Experience with deep learning frameworks (PyTorch)
- Practical experience deploying ML models on embedded or edge hardware
- Familiarity with Docker and Linux-based development environments
- Strong software engineering practices (version control, testing, documentation)
- Proven, hands-on experience working directly with cameras and imaging systems, including camera configuration, calibration, image acquisition pipelines, and troubleshooting real sensor data
Desirable Skills:
- Experience with space, robotics, autonomy, or safety-critical systems
- Knowledge of pose estimation, SLAM, or visual odometry
- Strong ability to multitask
- Familiarity with synthetic data generation and simulation environments
- Experience with FastAPI or similar backend frameworks
- Experience with C++