Autonomy Motion-Planning Engineer – Aerial Systems

Applied Intuition; Ann Arbor (MI); On-site; USD 140,000 - 180,000; Full time

Job summary

Applied Intuition, Inc. is seeking an Autonomy Engineer to develop, integrate, and test core path planning for aerial platforms (Group 1–5). You will work across the company to embed GNC algorithms into software and products, supporting commercial and defense applications.

The role requires collaboration with DoD warfighter experts and UAS vendors to deploy autonomy software on OEM hardware, with travel as projects require (~20%).

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 unmanned aerial vehicles (UAVs), as well as simulated models to accomplish tactical military missions
• Build, leverage, and improve aerial autonomy software architectures that are ultimately 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

Skills

Motion planning

3D path planning

2.5D grid planning

C++ / Python

Outer-loop control

Git / GitLab

Visual Studio Code

Tools

Git

GitLab

Visual Studio Code

Job description

Applied Intuition, Inc. is seeking an Autonomy Engineer to develop, integrate, and test core path planning for aerial platforms (Group 1–5). You will work across the company to embed GNC algorithms into software and products, supporting commercial and defense applications.

The role requires collaboration with DoD warfighter experts and UAS vendors to deploy autonomy software on OEM hardware, with travel as projects require (~20%).