Autonomy Software Engineer – Path Planning (C++)

Responsibilities

• Write software for 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 missions.
• Develop, integrate, and test core path planning capabilities across various aerial platforms.
• Collaborate with DoD warfighter domain experts and third-party UAS 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 implementing outer-loop control systems.
• Strong programming skills in functional, procedural, data-oriented, and object-oriented paradigms.
• Experience with Git, VS Code, and GitLab.
• U.S. Citizenship and eligibility for a U.S. Secret security clearance.
• Ability 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 for autonomy control development.
• Experience with Docker, containerized environments, and Linux-based operating systems (e.g., RHEL, Ubuntu).

Benefits

• Competitive base salary ($150K – $200K) and equity.
• 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. Founded in 2017, the company creates the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing the automotive, defense, trucking, construction, mining, and agriculture industries.