Computer Vision Engineer

About Lúnasa:

Lúnasa is a UK-based space-tech start-up building next-gen space systems to provide safe, sustainable, and affordable satellite operations for the in-space economy. The company has received multiple contracts from the UK Space Agency and the European Space Agency to build and deploy AI-based satellite rendezvous proximity operations (RPO) technology and is set to demonstrate the innovation in space by 2025. Lúnasa is also backed by world-class Deep-Tech investors.

Location:  London
Salary: Competitive
This position is for a candidate who has the right to work in the UK.

Job Summary:
Lúnasa is seeking a Computer Vision engineer who will support the development with definition, design, analysis, and implementation of the visual navigation architecture related to our satellite Rendezvous Proximity Operations (RPO) Kit. The successful applicant will be responsible for all stages of the algorithm lifecycle, from building low-level architecture, training, simulating, to testing in real-life environment (upcoming space mission). The Computer Vision Engineer will also be involved in detailed technical analysis and testing of the systems and performance, including producing development plans and reports, and other technical reviews internally and with external stakeholders.

Key Skills and Experience:

  • Design and develop novel computer vision and/or Machine Learning algorithms in areas such as: real-time scene and rigid object tracking, space object detection, 6 DoF pose estimation, key point estimation, and depth sensing.
  • Develop prototypes for a Computer Vision subsystem for spacecraft guidance and navigation applications including active/passive marker design, drive continued development, and integrate robust solutions into products.
  • Working experience of mixing image data from different sources; real and synthetic. This is key to leveraging images generated by our in-house built digital twin.
  • Background in Machine Learning with experience in large scale training and evaluation of deep convolutional and/or recurrent neural network and/or GANs.

Essential Skills:

  • Experience in electromechanical component configuration and testing
  • Able to work in a fast-paced startup environment and can handle stress
  • Excellent technical communication skills (written/verbal)
  • Understanding of hardware for computer vision e.g. sensors, computers, etc.
  • Practical experience in developing real-world computer vision applications
  • Knowledge of satellite/spacecraft system development
Education:
A Masters degree in computer science, computer vision, machine learning, or relevant areas is preferred

What we provide

Medical Insurance

Pension Contribution

On-site GYM

Employee Assistance Programme

Parental Leave

financial-growth

Employee Share Scheme