Motion Planning Engineer

Responsibilities

• Write software that operates real autonomous aircraft systems including fighter aircraft, maritime surface vessels, and UAVs
• Build and improve aerial autonomy software architectures for deployment on real systems
• Collaborate with DoD domain experts and 3rd party UAS vendors to integrate autonomy software onto OEM hardware
• Develop, integrate, and test core path planning capabilities for aerial platforms

Requirements

• 3-5 years of professional experience in autonomous vehicle motion planning or robotics
• Experience in 3D+ path planning using sampling based methods (e.g., RRT*)
• Experience in 2/2.5D grid based planning methods (e.g., A*)
• Proficiency in C++ or Python
• Experience developing or implementing outer-loop control systems
• Strong programming experience in functional, procedural, data-oriented, and object-oriented paradigms
• 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
• Willingness to travel approximately 20%

Preferred Qualifications

• Experience with UAS GNC/navigation systems such as PX4 and Ardupilot
• Ability to use data visualization and debugging tools for autonomy control development
• Experience with Docker, containerized environments, and Linux-based operating systems (RHEL, Ubuntu)

About the Company

Applied Intuition is powering the future of physical AI, creating digital infrastructure for moving machines across automotive, defense, trucking, construction, mining, and agriculture industries.