Autonomy Engineer
Listed on 2025-12-27
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Engineering
Robotics, Software Engineer, Systems Engineer, AI Engineer
About Applied Intuition
Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI‑driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self‑Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition’s solutions to deliver vehicle intelligence.
Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo.
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 unmanned 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.
The Role
As an Autonomy Engineer on the Air Combat Autonomy team at Epi Sci, your role is pivotal, entailing dynamic endeavors that encompass designing and actualizing architectures and systems across a spectrum of tactical autonomy applications. You will craft groundbreaking, hybrid autonomous algorithms that redefine the boundaries of both commercial and defense applications.
- Write software that operates real autonomous aircraft systems including F16 fighter jets, group 1‑5 unmanned aerial vehicles (UAVs), and simulated models to accomplish tactical military missions
- Build, leverage, and improve robotic autonomy software architectures that are ultimately tested and deployed on real systems to accomplish military missions
- Implement, leverage, and improve state‑of‑the‑art unmanned aerial system (UAS) autonomy solutions to sense, make sense, decide, and act in the context of tactical military missions
- Collaborate with DoD warfighter domain experts and 3rd‑party UAS vehicle vendors to develop and integrate autonomy software onto OEM hardware
- Implement and optimize autonomy algorithms for tasks such as sensor processing, track propagation and correlation, environment mapping, mission and trajectory planning, reasoning over discrete or uncertain states, optimization, learning, and control theory
- Bachelor’s degree in computer science or related engineering field
- Two or more years of hands‑on experience developing software for autonomous robotic systems
- High proficiency in Python or C++ programming languages
- Strong functional, procedural, data‑oriented, and object‑oriented programming experience employing clean code principles and good design patterns and principles
- Must be willing to travel as projects require; estimated average travel is once every other month for between two days up to one week (approximately 10%)
- Must be a U.S. Citizen
- Must hold or be eligible to obtain and maintain a U.S. security clearance
- Ability to use data visualization and debugging tools to support autonomous agent development
- Experience developing in Docker and containerized development environments, using Linux‑based operating systems (e.g., RHEL, Ubuntu), source control systems, and artifact registries
- Proficiency in the Rust and C++ (version 17 and later) programming languages
- Experience working with defense modeling and simulation tools such as AFSIM and NGTS
- Experience working with mission and autonomy architecture frameworks such as OMS UCI and ROS
Applied Intuition pays competitively. Base salary for this…
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