Collaborative Autonomy Engineer - Networked Collaborative Autonomy

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 OS, 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 appliedintuition.com.

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. (Note: this is not applicable for EpiSci roles).

About EpiSci

EpiSci, an Applied Intuition company, develops next-generation, tactical autonomy solutions for national security problems. EpiSci’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. EpiSci delivers unmatched speed, cost-efficiency, and scalability as the preferred partner for defense agencies and industry teams seeking mission-critical autonomy solutions.

About the role

As a Collaborative Autonomy Engineer on the Networked Collaborative Autonomy team, you will develop collaborative autonomy behaviors for large teams of heterogenous 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, and you will work with the team to make the entire system successful.

At EpiSci, you will:

• Contribute novel engineering ideas, algorithms, and concepts for 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  
• Write software that operates real autonomous aircraft systems (small UxS) as they accomplish tactical problems; the autonomy stack consists of a component-based architecture, and development will include robust modeling and simulation, software-in-the-loop, hardware-in-the-loop and flight test
• Troubleshoot and debug data sets generated during live, virtual, or constructive swarm autonomy testing on small UxS including complex behavioral autonomy system performance and robust, explainable operations
• 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

We're looking for someone who has:

• Bachelors or Masters in Robotic Engineering, Computer Science, or related engineering field
• 3+ years of hands-on experience with Multi-Agent Algorithms including sensor localization and mapping (SLAM), task allocation/optimization and behavior logic frameworks (state machines, behavior trees, hierarchical task networks)
• Experience with modern C++ development (2020, 2017), CMake, Python and Bash
• Experience with containerization (Docker)
• Comfortable in both Linux and Windows
• Comfortable with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision

Travel Requirements:

• Must be willing to travel as projects require, usually for SW/HW integration and/or demonstrations; estimated average travel is 2-5 days every other month (10-20%)
• Interested candidates should also inquire about relocation assistance to EpiSci fac