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Autonomy Software Engineer – Path Planning (C++)

Applied Intuition· Engineering
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Ann Arbor, MI$150k - $190kFull-timePosted 5mo ago

About the role

Autonomy Engineer focused on developing, integrating, and testing core path planning capabilities for aerial platforms (Group 1-5), collaborating across teams to integrate GNC algorithms into software and product stacks for commercial and defense applications.

Responsibilities

  • Write software that operates real autonomous aircraft systems including fighter aircraft, maritime surface vessels, group 1-5 UAVs, and simulated models to accomplish tactical military missions
  • Build, leverage, and improve aerial autonomy software architectures that are 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

Qualifications

  • 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 such as RRT* or similar
  • Experience in 2/2.5D grid-based planning methods such as A* or similar
  • Experience developing autonomy algorithms in either C++ or Python
  • Experience developing or implementing outer-loop control systems
  • Strong functional, procedural, data-oriented, and object-oriented programming experience
  • Experience using git, Visual Studio Code, GitLab

Skills

Required:autonomous vehicle motion planning3D path planning (RRT*)2/2.5D grid-based planning (A*)C++
Nice to have:Python

Benefits

  • base salary, equity, and benefits including health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, paid time off
Last updated May 26, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

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