SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Applied Intuition is a $15B-valued AI company (founded 2017) powering physical intelligence for autonomous systems across automotive, defense, trucking, construction, mining, and agriculture. The company serves 18 of the top 20 global automakers and the U.S. military, with offices globally including Washington, D.C.; San Diego; Ft. Walton Beach; Ann Arbor; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.
As a Guidance, Navigation & Control (GNC) Engineer, you will develop, integrate, and test core flight autonomy capabilities across all classes of aerial platforms (Group 1-5 UAVs and fighter jets). You'll work cross-functionally to integrate GNC algorithms into software and product stacks supporting both commercial and defense applications.
Key responsibilities:
- Write and deploy software for real autonomous aircraft systems, including F-16 fighter jets and Group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models for tactical military missions
- Build, leverage, and improve aerial autonomy software architectures tested and deployed on real systems
- Collaborate with DoD warfighter domain experts and third-party UAS vehicle vendors to develop and integrate autonomy software onto OEM hardware
- Perform flight testing and data analysis to validate GNC systems
Applied Intuition is an in-office company with an expectation that full-time employees work from their office 5 days per week, though occasional flexibility is available for remote work and schedule adjustments. Travel is required approximately once every other month for 2 days to 1 week (~20% estimated).
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 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
- Experience using git, Visual Studio Code, and GitLab
- Must be a U.S. Citizen
- Must hold or be eligible for a U.S. Secret security clearance
NICE TO HAVE:
- Ability to use data visualization and debugging tools for autonomy control development
- Experience developing in Docker and containerized development environments, using Linux-based operating systems (RHEL, Ubuntu)
- Familiarity with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) development and testing
