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GNC Engineer (Guidance, Navigation & Control)

Applied Intuition· Defense
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Washington, D.C., Fort Walton Beach, FL, Ann ArborFull-timePosted 3mo ago

About the role

Role focused on developing, integrating, and testing core flight autonomy capabilities for aerial platforms (Group 1-5) and collaborating across teams to deploy GNC algorithms in commercial and defense applications.

Responsibilities

  • Write software that operates real autonomous aircraft systems including F16 fighter jets, group 1-5 UAVs, and simulated models for tactical missions
  • Build, leverage, and improve aerial autonomy software architectures deployed on real systems for military missions
  • Collaborate with DoD warfighter domain experts and 3rd party UAS 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++ or Python
  • Experience developing or implementing outer-loop control systems or path planning algorithms
  • Experience developing and simulating 3DoF or 6DoF models of air vehicles to support GNC algorithm development
  • Experience with flight testing and data analysis
  • Experience with UAS GNC/navigation systems such as PixHawk and Ardupilot
  • Strong functional, procedural, data-oriented, and object-oriented programming experience
  • Experience using git, Visual Studio Code, GitLab

Skills

Required:GNC software developmentC++PythonOuter-loop control / path planning3DoF/6DoF modelingFlight testing & data analysisUAS GNC/navigation systemsGit / GitLab / VS Code
Last updated Oct 25, 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
Company profileWebsite

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