- Robot type
- Autonomous Vehicle · Robot AI and Software
- Location
- ArlingtonVirginiaUSA
- Job type
- Software
- Posted
- Sep 29, 2026
- Salary
- $150,000–$185,000 a year
GNC Engineer (Guidance, Navigation & Control)
This job has closed.
Applied Intuition is no longer taking applications for this role. See open roles at Applied Intuition or browse similar open jobs.
Job description
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;
Job responsibilities
- Write software that operates real autonomous aircraft systems including F16 fighter jets, 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 DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate aerial autonomy software onto OEM hardware
Job requirements
- 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 either 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 performing data analysis
- Experience with UAS GNC/navigation systems such as PixHawk and Ardupilot
- Strong functional, procedural, data-oriented, and object-oriented programming experience
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