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Applied Intuition

Drone Stack - Software Engineer

Fort Walton Beach, FL$125k–$165kfulltimemidAdded today

About this role

Applied Intuition seeks a Robotic Software Engineer to design and integrate autonomy systems for unmanned vehicles, bridging hardware and software across defense and commercial platforms. You'll deploy algorithms in simulation and live test environments, collaborate with cross-functional teams, and support flight testing of Group 1-5 UAVs.

What you'll do

  • Integrate autonomy software onto embedded Linux platforms and UAV hardware, interfacing with sensors and autopilots
  • Deploy and validate autonomy algorithms in SIL, HIL, and live test environments
  • Troubleshoot complex integration issues and ensure system reliability and performance
  • Conduct system-level testing and collaborate with autonomy engineers on service-oriented architecture and inter-process messaging
  • Support live flight tests on unmanned aerial vehicles and work with third-party OEM vendors
  • Travel 10-20% for on-site integration, demonstrations, and customer-facing technical support

What they're looking for

  • C++ programming (modern standards preferred)
  • Pixhawk autopilot integration (ArduPilot/PX4)
  • Communication protocols (UART, SPI, I2C, Ethernet, RS-422/485)
  • Linux system administration and Docker containerization
  • Git, GitLab, Visual Studio Code
  • Software-in-the-loop and hardware-in-the-loop testing
  • Real-time and edge computing systems
  • Robotics hardware-software integration
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Applied Intuition

Applied Intuition builds autonomous vehicle and defense systems software, including motion planning algorithms, simulation infrastructure, and autonomy integration platforms for aerial and ground platforms. The company is hiring for security engineers, robotics/autonomy software engineers, hardware-in-the-loop specialists, and IT operations professionals to support its growing physical AI operations.

Website
appliedintuition.com
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Likely interview questions

  • Describe a complex robotics integration project where you debugged communication between embedded systems and external sensors—what was your approach?
  • How have you validated autonomy software in SIL and HIL environments, and what challenges did you encounter?
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