Autonomy Engineer: 3D Path Planning for Aerial Systems

Decisive Point

Ann Arbor (MI)

Hybrid

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Applied Intuition is seeking an Autonomy Engineer to develop, integrate, and test core path planning for group 1–5 aerial platforms, collaborating with teams across the company to support both commercial and defense applications.

You will write software for real autonomous aircraft systems, build robust autonomy architectures, and work with DoD experts and UAS vendors to deliver flight-worthy solutions.

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

Responsibilities

  • Write software that operates real autonomous aircraft systems including fighter aircraft, maritime surface vessels, group 1-5 UAVs, and simulated models to accomplish missions.
  • Build, leverage, and improve aerial autonomy software architectures that are tested and deployed on real systems to accomplish missions.
  • Collaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate aerial autonomy software onto OEM hardware

Skills

Autonomy engineering
Motion planning
3D path planning
2.5D grid planning
C++ or Python
Autonomy algorithms
Git & Dev tools

Tools

Git
Visual Studio Code
GitLab
Docker

Job description

Applied Intuition is seeking an Autonomy Engineer to develop, integrate, and test core path planning for group 1–5 aerial platforms, collaborating with teams across the company to support both commercial and defense applications.

You will write software for real autonomous aircraft systems, build robust autonomy architectures, and work with DoD experts and UAS vendors to deliver flight-worthy solutions.

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