Autonomy Software Engineer – Path Planning (C++)

Responsibilities

• Write software that operates real autonomous aircraft systems, including fighter aircraft, maritime surface vessels, and UAVs (Group 1-5).
• Build and improve aerial autonomy software architectures for deployment on real systems to accomplish tactical military missions.
• Develop, integrate, and test core path planning capabilities across various aerial platforms.
• Collaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to integrate autonomy software onto OEM hardware.

Requirements

• 3-5 years of professional experience in autonomous vehicle motion planning, robotics, or a related field.
• 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 development.
• Experience developing or implementing outer-loop control systems.
• U.S. Citizenship is required.
• Ability to hold or eligibility for a U.S. Secret security clearance.
• Willingness to travel approximately 20% of the time.

Preferred Qualifications

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

Benefits

• Competitive base salary and equity (options and/or RSUs).
• Comprehensive health, dental, vision, life, and disability insurance.
• 401k retirement benefits with employer match.
• Learning and wellness stipends.
• Paid time off.

About the Company

Applied Intuition is powering the future of physical AI. We create the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing the automotive, defense, trucking, construction, mining, and agriculture industries. Our solutions are trusted by eighteen of the top 20 global automakers and the United States military.