Motion Planning Engineer

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy.

Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.

About The Role

As an Autonomy Engineer at Applied, your role is pivotal. Your work will involve developing, integrating, and testing core path planning capabilities that span all classes of aerial platforms (Group 1-5). You'll work closely with teams across the entire company to integrate core GNC algorithms into their software and product stacks, supporting applications in both commercial and defense spaces.

• Develop, 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

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 such as RRT*
• Experience in 2/2.5D grid based planning methods such as A*
• 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

Security Requirements

• Must be a U.S. Citizen
• Must hold or be eligible for a U.S. Secret security clearance

Nice to Have

• Experience with UAS GNC/navigation systems such as PX4 and Ardupilot
• Ability to use data visualization and debugging tools to support autonomy control development
• Experience developing in Docker and containerized development environments, using Linux-based operating systems (e.g., RHEL, Ubuntu), source control systems, and artifact registries

Pay Range

The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. For the full-time position in the location listed, the pay range is: $125,000 - $175,000 USD annually.