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Senior GNC Engineer

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LondonFull-timePosted 2mo ago

About the role

Senior GNC Engineer at Applied Intuition Defence in London. Roles include designing, integrating, and testing core flight autonomy capabilities across aerial UAS platforms, developing GNC algorithms, and contributing to reusable software for multiple programs.

Responsibilities

  • Write software that operates real autonomous aircraft systems including group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models to accomplish tactical military missions
  • Build, leverage, and improve aerial autonomy software architectures that are ultimately tested and deployed on real systems to accomplish military missions
  • Collaborate with 3rd party UAS vehicle vendors to develop and integrate aerial autonomy software onto OEM hardware

Qualifications

  • Master's degree in Aerospace, Robotics, Electrical Engineering, Mechanical Engineering, Computer Science or similar field
  • 6+ years of hands-on experience developing GNC software for autonomous systems
  • Experience developing autonomy algorithms in C++
  • Experience developing or implementing outer-loop control systems or path planning algorithms
  • Strong foundation in control theory, dynamics, and optimization, with experience applying them to real-world autonomous systems
  • Experience developing and simulating 3DoF or 6DoF models of air vehicles to support GNC algorithm development
  • Experience with flight testing and performing data analysis
  • Experience with UAS GNC/navigation systems such as PX4 and Ardupilot
  • Strong functional, procedural, data-oriented, and object-oriented programming experience

Skills

Required:GNC software developmentC++Outer-loop control / path planningControl theory, dynamics, optimizationUAS GNC/navigation systems
Last updated Oct 11, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development

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