Robotic Autonomy Software Engineer

Fort Walton Beach, Florida, United States

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

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:

For Epi Sci job openings, fully remote work will be considered by exception.)

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 Robotic Autonomy Software Engineer, you will design and integrate complex autonomy and vehicle intelligence systems spanning hardware and software domains. You will integrate hardware and software onto vehicle platforms and deploy autonomy algorithms in both a HIL/SIL and flight test environment. Computer networking, code integration, and a passion for robotics integration is a must. You will collaborate closely with cross-functional teams to deliver robust, scalable solutions for defense and commercial customers, providing seamless hardware-software integration, troubleshooting, and customer-facing demonstrations.

• Adapt and develop modular and agile autonomy capabilities across diverse defense problems
• Integrate and deploy autonomy solutions onto embedded Linux and other hardware platforms, including interfacing with sensors and collecting data
• Troubleshoot complex integration and software issues to ensure high reliability and performance
• Integrate autonomy software into hardware in collaboration with autonomy engineers that supports full integration with aircraft autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc.
• Support live flight test of autonomy software on group 1-5 unmanned aerial vehicles (UAVs)
• Collaborate with 3rd party UAS vehicle vendors on the integration of Epi Sci autonomy software onto OEM UAS hardware
• Conduct system-level setup, testing, and validation, including software-in-the-loop and hardware-in-the-loop evaluations
• Collaborate with autonomy engineers to implement service-oriented-architecture software and inter-process messaging systems for autonomous UASs
• Collaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate autonomy software onto OEM hardware

• BS or MS in Robotics, Computer Science or related engineering field
• 2+ years of hands-on experience working with robotic systems (hardware, software, and integration)
• Experience with software programming languages: C++ preferred
• Experience integrating autonomy/robotics products with Pixhawk autopilots (Ardu Pilot and/or PX4)
• Experience integrating with communication busses & protocols: UART/RS232/RS422/RS485, SPI/QSPI, I2C, Ethernet
• Experience developing in Docker, containerized deployment environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu)
• Experience using git, Visual Studio Code, Git Lab
• Familiarity with real-time, edge computing, and safety-critical systems operating in software-in-the-loop (SIL), hardware-in-the-loop (HIL), test & operational environments
• Excellent communication skills and customer-oriented project delivery mindset
• Willingness to travel frequently for on-site integration and demonstrations (estimated 10–20%)
• Eligibility to obtain and maintain a U.S. security…