GNC Architect

At Clear Space, we believe in reusability, in affordability driving disruption, and that no progress is real unless it is sustainable.

Our company was founded in 2018 out of the realization that in-orbit servicing and space debris removal are vital services for the future of space exploration and operations. Today Clear Space has assembled an expert engineering team and is leading the way toward sustainable space operations. From a garage in Switzerland, we now operate across UK and Europe, and are working with world-leading institutions and companies to bring our dream of a sustainable space ecosystem to life.

The successful candidate will be a key member of the London Team and will help develop the GNC architecture for one of our missions.

• Be the Guidance, Navigation, and Control (GN&C) Architect for the mission
• Define the GNC architecture for the mission;
• Define and manage the GNC Subsystem Requirements;
• Define the GNC simulator and the test specifications
• Manage the GNC engineering team of the mission
• Define risks and risk mitigation strategies for the GNC subsystem
• Contribute to the optimisation of the overall system by capturing the needs of other subsystems and proposing the adequate GNC-level solutions for the other disciplines
• Interface with the program management and technical team especially the System Architect and Robotic System Architect

• 10+ years of experience in AOCS or GNC design
• Experience of GNC algorithm design e.g. navigation filters, guidance strategies and/or controllers.
• Experience designing fault-tolerant GNC systems e.g. fault-tolerant algorithm / software design.
• Knowledge and experience of GNC rendezvous and pose estimation sensors and methods.
• Experience of satellite trajectory design and analysis e.g. walking safety ellipses, passively safe trajectories, abort manoeuvres and collision avoidance manoeuvres.
• Experience of GNC hardware integration and test.
• Experience with software packages commonly used for aerospace simulations e.g. MATLAB/Simulink and Python.
• Experience of programming in C/C++.

• (BSc/MSc) Degree in aerospace engineering or another relevant engineering/science discipline
• Additional languages
• Strong analytical skills

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