Collaborative Autonomy Engineer - Cross Domain

Job Title

Collaborative Autonomy Engineer - Cross Domain

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. 18 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. Learn more at

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 Collaborative Autonomy Engineer on the Cross Domain Autonomy team, you will be pivotal in developing collaborative autonomy behaviors for large teams of heterogeneous autonomous vehicles, across different domains (e.g., surface, air), with different sensor suites (e.g., camera, radar) that work together to accomplish complex mission vignettes. Your team will continuously add capability and demonstrate the solution to customers in real‑world scenarios on a variety of HW platforms.

Your responsibility will primarily be designing and developing multi‑agent multi‑domain behavioral autonomy algorithms, but you will work with the team to make the entire system successful.

• Adapt and develop cutting edge, modular, and agile autonomy capabilities in the fields of optimization, persistent search, and coordinated behaviors, applicable to a diverse set of Defense problems
• Integrate tactical autonomy solutions onto hardware platforms, interface sensors, and test and validate autonomous behaviors, including on‑site demonstrations for software field testing and evaluation exercises with the US Navy
• Design, test, and ultimately implement software within a component‑based architecture, including occasionally integrating externally developed software capabilities into the system
• Deploy containerized autonomy solutions to embedded Linux devices, leveraging computer‑in‑the‑loop testing and profiling, and efficiently collecting performance data
• Troubleshoot and debug complex issues related to behavioral autonomy and system performance, ensuring robust and reliable operation
• Contribute novel engineering ideas, algorithms and concepts for new and existing research and development projects
• Collaborate with cross‑functional teams, domain experts, prior DoD warfighters, and program managers to build software solutions for military missions
• Effectively communicate solutions to a diverse team of engineers, program managers, executives, and sponsors

• MS or PhD in Robotic Engineering, Computer Science, Computer Engineering, Optimization, or equivalent OR 5 years of relevant experience designing multi‑agent autonomy
• Understanding of Multi‑Agent Algorithms including Ant‑Colony Optimization, Swarm Particle Optimization, Stigmergy, and Wolf Pack Algorithm
• Experience with Swarm or Multi‑agent Systems and Optimization
• Deep understanding of behavior logic frameworks (state machines, behavior trees, hierarchical task networks)
• Experience with modern C++ development…