Senior Computer Vision Engineer
Job type:Perm
Country:United Kingdom
Salary/Rate:£58 000 - £90 000
Specialism:Software
Job ref:NBSASTRO015
Post Date:16. 10. 2024
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Meet Our Recruiter
About the Role
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.
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