Autonomy Motion Planning Engineer – Aerial Systems

Applied Intuition Inc.; Ann Arbor (MI); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Applied Intuition is seeking an Autonomy Engineer to develop, integrate, and test core path planning for aerial platforms (Group 1-5). You’ll collaborate across teams to embed GNC algorithms into software stacks for commercial and defense applications.

Responsibilities include implementing 3D+ path planning, 2.5D grid planning, and outer-loop control in C++ or Python, plus coordinating with DoD experts and vendors. US citizenship and security clearance eligibility required.

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 simulations.
• Build, leverage, and improve aerial autonomy software architectures deployed on real systems to accomplish military missions.
• Collaborate with DoD warfighter domain experts and 3rd party UAS vendors to develop and integrate aerial autonomy software onto OEM hardware.

Skills

Autonomous motion planning

3D path planning (RRT*)

2.5D grid planning (A*)

C++ or Python

Outer-loop control

Git / GitLab

Visual Studio Code

Tools

Docker

Linux

VS Code

Job description

Applied Intuition is seeking an Autonomy Engineer to develop, integrate, and test core path planning for aerial platforms (Group 1-5). You’ll collaborate across teams to embed GNC algorithms into software stacks for commercial and defense applications.

Responsibilities include implementing 3D+ path planning, 2.5D grid planning, and outer-loop control in C++ or Python, plus coordinating with DoD experts and vendors. US citizenship and security clearance eligibility required.