Applied Intuition
Autonomy Integration Engineer - Drone Stack
About this role
Applied Intuition seeks an Autonomy Integration Engineer to serve as the technical bridge between hardware, embedded software, and field operations for autonomous drone systems. You'll split your time between the lab and airfield, managing system bring-up from benchtop configuration through live flight testing, with expertise spanning Linux deployment, embedded wiring, and real-time troubleshooting.
What you'll do
- Lead end-to-end hardware and software integration for unmanned aerial systems from prototype to active flight test
- Deploy and configure containerized software stacks using Docker across onboard computers and peripheral hardware
- Troubleshoot vehicle networks, payload interfaces, and sensor links in real time using CLI tools and hardware diagnostics
- Develop Python and C++ scripts for data reduction, log analysis, system validation, and subsystem verification
- Fabricate custom wiring harnesses, perform precision soldering, and define system-level architecture
- Configure IP routing, mesh networking, and communication protocols between flight controllers and ground stations
What they're looking for
- Linux CLI and embedded systems administration
- Docker containerization and deployment
- Python and C++ scripting
- Hardware diagnostics (oscilloscope, multimeter, soldering)
- Serial and vehicle bus protocols (UART, CAN, Ethernet, SPI, I2C)
- Network configuration and IP routing
- Flight test engineering and robotics integration
- Shell scripting and automation
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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
Likely interview questions
- Walk us through a recent autonomy or robotics project where you bridged hardware and software integration—what were the biggest challenges?
- Describe your experience deploying containerized applications on resource-constrained embedded systems. How did you handle dependency or networking issues in the field?