GNC Engineer; Guidance, Navigation & Control

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.;
San Diego;
Ft. Walton Beach, Florida;
Ann Arbor, Michigan;
London;
Stuttgart;
Munich;
Stockholm;
Bangalore;
Seoul; and Tokyo. Learn more at

We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

This in-office expectation does not apply to contractor positions

As a Guidance, Navigation & Control Engineer at Applied, your role is pivotal. Your work will involve developing, integrating, and testing core flight autonomy capabilities that span all classes of aerial platforms (Group 1-5). You'll work closely with teams across the entire company to integrate core GNC algorithms into their software and product stacks, supporting applications in both commercial and defense spaces.

The challenge is profound, and the rewards are immeasurable, as you build superior systems that empower our military with unrivaled capabilities.

• 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

• 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 3
  
  DoF or 6
  
  DoF 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 Pix Hawk and Ardupilot

• Strong functional, procedural, data-oriented, and object-oriented programming experience

• Experience using git, Visual Studio Code, Git Lab

Travel Requirements:

• Must be willing to travel as projects requires; estimated average travel is once every other month for between 2 days up to 1 week (~20%)

Security Requirements:

• Must be a U.S. Citizen

• Must hold or be eligible for a U.S. Secret security clearance

• Ability to use data visualization and debugging tools to support autonomy control development

• Experience developing in Docker and containerized development environments, using Linux-based operating systems (e.g., RHEL, Ubuntu), source control systems, and…