Senior Computer Vision Engineer

About the Client:

Our client is a pioneering company in the field of space sustainability and debris removal, developing innovative technologies to mitigate risks associated with space debris. They are dedicated to securing long-term spaceflight safety through debris removal solutions and advocating for international cooperation in space sustainability efforts. With a focus on innovation and collaboration, our client is shaping the future of space exploration.

Position Overview:

Our client seeks a Senior Computer Vision (CV) Engineer to design and prototype CV algorithms for space debris capture missions. The role involves developing cutting-edge technology for space object detection, tracking, and pose estimation, contributing to mission-critical CV systems. You’ll collaborate with a team of engineers to tackle the challenges of Rendezvous, Proximity Operations (RPO), and docking with uncontrolled objects.

Key Responsibilities:

• Design and develop CV algorithms for space object detection, tracking, and 6 Degrees of Freedom (DoF) pose estimation.
• Support CV hardware procurement, verification, validation, and subsystem test activities.
• Collaborate with Systems, GNC, and Flight Dynamics teams to ensure software and hardware performance.
• Contribute to in-orbit operations, analyzing CV hardware and algorithm performance.
• Guide junior engineers and review their work.
• Conduct research on CV algorithm designs and support RPO bids and proposals.
• Contribute to system-level processes like Failure Mode and Effects Analysis (FMECA) and Fault Detection and Recovery (FDIR).

Qualifications:

• Degree in engineering, scientific, or mathematical discipline.
• Experience in developing CV solutions, including detection, tracking, classification, and working with real and synthetic image data.
• Proficient in Python, C/C++, and version control (Git).
• Ability to interpret optical sensor data and design experimental testbeds for algorithm training.
• Master’s or PhD in Computer Vision, Machine Learning, or related field.
• Experience with space applications, Lidar-based CV, multi-view geometry, and pose estimation.
• Familiarity with deep learning frameworks (e.g., PyTorch) and SLAM.
• Knowledge of Domain Adaptation techniques.

What the Client Offers:

• Competitive salary with comprehensive benefits.
• Join a dynamic international team with cutting-edge technology.
• Flexible and hybrid working options.
• Generous holiday, life insurance, and healthcare benefits.
• Relocation allowance and visa sponsorship.
• State-of-the-art facilities and regular social events.