Autonomy Software Engineer – Path Planning; C++

About Applied Intuition

Applied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, vehicle platform, and autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles.

Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

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Note:

this is not applicable for Epi Sci roles).

Epi Sci, an Applied Intuition company, develops next-generation, tactical autonomy solutions for national security problems. Epi Sci’s autonomy software is technology agnostic, operationally informed, tactically relevant, and has piloted swarms of uncrewed aerial systems and tactical fighter aircraft. Additional applications include crewed-uncrewed teaming for air dominance, cognitive sensors, and networks for advanced communications systems, as well as battle management command and control for informed decision-making.

Epi Sci delivers unmatched speed, cost-efficiency, and scalability as the preferred partner for defense agencies and industry teams seeking mission-critical autonomy solutions.

As a Path Planning Engineer on the Engineering team at Epi Sci, 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.

The challenge is profound, and the rewards are immeasurable, as you build superior systems that empower our military with unrivaled capabilities.

• Write software that operates real autonomous aircraft systems including F16 fighter jets, 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

• Master's degree in Aerospace, Robotics, Electrical Engineering, Mechanical Engineering, Computer Science or similar field
• 6+ years of hands-on experience developing Path planning (Guidance) software for autonomous systems
• Experience in kinodynamic and geometric planning
• 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, Git Lab

• Must be willing to travel as projects requires; estimated average travel is once every other month for between 2 days up to 1 week (~20%)
• This role can be based in one of the following locations:
  Washington, DC;
  Mountain View, CA;
  San Diego, CA;
  Ann Arbor, MI; or Fort Walton Beach, FL. While preference will be given to candidates local to these areas, applicants from other U.S. locations will also be considered, provided they are willing to travel or potentially relocate for the position.

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

For more information about U.S. security clearances: .

• Experience developing and simulating 3
  
  DoF or 6
  
  DoF models of air vehicles to support GNC algorithm development
• Experience with flight testing and performing data analysis
• Experience with UAS GNC/navigation systems such as PX4 and Ardupilot
• Ability to use data visualization and debugging tools to support autonomy control development
• Understanding of 3D scene reconstruction techniques for a sampling based path planners to utilize
• Experience developing in Docker and…