Shield AI
Engineer, Autonomous Systems Integration (R6266)
$130K–$190K
San Diego, California · On-site · Full-time · Posted Aug 4, 2026
- Experience
- 10+ years; qualifying areas include UxS or UAS systems integration, robotics hardware integration, autonomy test operations, flight test, field engineering, embedded systems, or similar hands-on technical roles.
- Visa sponsorship
- U.S. citizenship required; ability to obtain and maintain a Secret security clearance.
About the job
Leads hands-on integration, readiness, testing, and demonstrations of Hivemind autonomy on representative unmanned aircraft and robotic systems.
What you'll do
- Lead integration and troubleshoot issues across autonomy software, hardware, communications, sensors, and field operations.
- Evaluate platforms and guide test readiness, planning, execution, and evidence practices across simulation and real-world environments.
- Share lessons learned and mentor engineers and operators on integration, field troubleshooting, and autonomy testing.
What they ask for
- 10+ years of experience in UxS/UAS integration, robotics hardware integration, autonomy test operations, flight test, field engineering, embedded systems, or similar hands-on technical roles.
- Experience leading complex cross-disciplinary integration and bringing up, configuring, operating, and troubleshooting unmanned systems and supporting equipment.
- Working knowledge of Linux, embedded systems, networking, system configuration, data collection, logs, services, and field diagnostics.
- Ability to obtain and maintain a Secret security clearance; U.S. citizenship required.
Nice to have
- Experience with Hivemind, autonomy SDKs, autonomous aircraft systems, robotics middleware, simulation infrastructure, or edge-deployed autonomy software.
- Hands-on experience with NVIDIA Jetson, embedded Linux, systemd services, containerized deployment, device provisioning, and field update workflows.
Pay
USD 130,000–190,000 per-year-salary; base salary
Tools
Linux, PX4, ArduPilot, MAVLink, Pixhawk/Cube-class flight controllers, QGroundControl, Mission Planner, Python
AI focus
Integrates and tests Hivemind autonomy software on unmanned systems, including hardware-based validation and demonstrations.
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