Drone Autonomy Systems Engineer

Applied Intuition; Fort Walton Beach (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Health insurance

401k matching

Paid time off

Job summary

Applied Intuition is hiring a Software Engineer (Drone Stack Team) to architect and field advanced autonomy and vehicle intelligence on real platforms. You will bring autonomy stacks to life on embedded Linux compute, stand up integrations, run SIL/HIL evaluations, and support live testing in the field.

The role requires hands-on robotics experience across hardware, software, and systems integration, plus strong C++ and tools like Docker and Git.

Qualifications

• Bachelor's or Master's in Robotics, CS, or related engineering; 3+ years robotics experience across hardware, software, and systems.
• Proficiency in modern C++, with Docker, Linux (Ubuntu/RHEL), and Git.
• Experience with Pixhawk autopilots (ArduPilot and/or PX4) and common interfaces: UART/RS232/RS422/RS485, SPI/QSPI, I2C, Ethernet.
• Willingness to travel 10–20%; U.S. citizenship and ability to obtain security clearance.

Responsibilities

• Build and integrate autonomy capabilities on embedded platforms and sensor suites.
• Collaborate with autonomy engineers to integrate software with hardware and aircraft systems.
• Perform SIL/HIL bring-up, testing, and live flight validation across UAVs.
• Diagnose and resolve software and integration issues for dependable operation.
• Engage with DoD warfighter domain experts and partner with UAS vendors for deployments.

Skills

Robotics experience

System integration

Communication skills

Education

Bachelor's or Master's in Robotics, CS, or related engineering

Tools

Docker

Git / GitLab

Linux (Ubuntu/RHEL)

CMake

Pixhawk/ArduPilot/PX4 integration

Job description

Applied Intuition is hiring a Software Engineer (Drone Stack Team) to architect and field advanced autonomy and vehicle intelligence on real platforms. You will bring autonomy stacks to life on embedded Linux compute, stand up integrations, run SIL/HIL evaluations, and support live testing in the field.

The role requires hands-on robotics experience across hardware, software, and systems integration, plus strong C++ and tools like Docker and Git.