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Shield AI

Builds autonomous aircraft for defense

Staff UAS Flight Test Operator

Aviation Operations & Aircraft MaintenanceUpdated on Nov 14
Full-timeSan Diego, CA, USAIn-person

About the Job

Requirements

  • At least 8 years of experience operating, configuring, and maintaining Group 1/2 UAS platforms in test, military, commercial, or operational environments.
  • Demonstrated experience leading complex UAS flight operations, including mission planning, test-card execution, crew briefings and debriefings, and real-time coordination in dynamic test environments.
  • Strong knowledge of commercial off-the-shelf UAS hardware, autopilot systems, payloads, ground control stations, communications systems, and supporting test equipment.
  • Experience assessing operational readiness and maintaining configuration control across aircraft, payloads, software, communications equipment, personnel, and test infrastructure.
  • Experience developing, implementing, and executing standard operating procedures, checklists, risk assessments, hazard mitigations, and operational processes.
  • Working knowledge of National Airspace System operations, airspace coordination, flight authorization requirements, and operational planning for complex UAS missions.
  • FAA Part 107 Remote Pilot Certificate holder.

Responsibilities

  • Lead system-level flight-test campaigns for Hivemind Mission Autonomy across multi-rotor, fixed-wing, and external UAS platforms, including day-to-day fly–fix–fly operations.
  • Plan and conduct missions in accordance with approved test plans, test cards, configuration requirements, release criteria, and safety procedures.
  • Operate, configure, inspect, and maintain UAS, payloads, ground control systems, communications equipment, and supporting test infrastructure across laboratory, ground, and flight-test environments.
  • Test pre-release HivemindSDK versions by verifying features, integrations, autonomy capabilities, and performance against defined product and quality requirements.
  • Develop and execute representative customer workflows and mission scenarios to assess SDK functionality, usability, reliability, and operational performance across aircraft types and multi-agent configurations.
  • Document test results, defects, anomalies, regressions, and limitations; provide actionable feedback to product, software, systems, autonomy, and quality teams; and support issue reproduction, triage, and corrective-action verification.
  • Lead operational risk assessments, crew briefings, ground checks, launch and recovery preparations, and post-flight debriefs while serving in designated leadership roles during test conduct.
  • Monitor telemetry and system status, collect flight data, evaluate aircraft and autonomy behavior, and support initial anomaly investigation.
  • Establish and maintain standard operating procedures, test procedures, checklists, and operational standards; mentor flight-test personnel; communicate test status and risks; and drive improvements in safety, efficiency, product quality, and customer readiness.

Desired Qualifications

  • Experience supporting autonomy, AI-enabled systems, or developmental flight-test programs, particularly multi-aircraft or distributed UAS operations.
  • Experience supporting test progression across simulation, software-in-the-loop, hardware-in-the-loop, ground-test, and flight-test environments.
  • Hands-on fabrication and integration experience involving mechanical assemblies, electrical systems, wiring harnesses, avionics, payloads, and supporting test equipment.
  • Proficiency with ArduPilot, PX4, QGroundControl, and Mission Planner, with working knowledge of Linux, IP networking, MAVLink, ROS/ROS 2, or basic scripting.
  • Military UAS operations or experience supporting Department of Defense developmental testing, operational testing, customer demonstrations, or other formally controlled test programs.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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