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Shield AI

Builds autonomous aircraft for defense

Senior Flight Test Engineer - Flight Test

Spacecraft & Launch Vehicle SystemsUpdated on Nov 14
Full-timeSan Diego, CA, USAIn-person

About the Job

Requirements

  • Typically requires a minimum of 5 years of related experience with a Bachelor's degree, 4 years with a Master's degree, or equivalent work experience.
  • Experience in system integration and test, including software-in-the-loop (SIL), hardware-in-the-loop (HIL), simulation, and flight-test environments.
  • Ability to manage complex, fast-paced test campaigns in an organized and methodical manner.
  • Strong written and verbal communication skills for safety-of-flight processes, hazard analysis, and configuration control in flight-test environments.
  • Ability to analyze flight logs, telemetry, and system behavior to identify root causes.
  • Ability to collaborate across software, hardware, product, and test organizations.
  • FAA Part 107 Remote Pilot Certificate, or ability to obtain one within a reasonable timeframe.

Responsibilities

  • Lead system-level integration and flight-test campaigns for Hivemind Mission Autonomy across small unmanned aircraft systems (UAS) and external platforms.
  • Develop and execute test strategies, plans, scenarios, and success criteria to validate autonomy capabilities, software integrations, system performance, and operational customer workflows.
  • Own test readiness and phase-gate decisions across simulation, software-in-the-loop, hardware-in-the-loop, ground, and flight testing, including entry and exit criteria, configuration control, and objective prioritization.
  • Plan, direct, and execute fly-fix-fly campaigns, coordinating cross-functional engineering teams and test operators to enable disciplined iteration.
  • Approve test procedures, test cards, and execution plans; lead risk assessments, hazard analyses, and mitigation planning while serving as the final authority during test conduct.
  • Define and maintain test infrastructure, including simulation environments, flight assets, hardware configurations, multi-agent systems, and automated test pipelines.
  • Analyze flight logs, telemetry, rosbags, and system data to identify defects, determine root causes, document anomalies and corrective actions, and ensure results are traceable to requirements and mission outcomes.
  • Serve as the primary test interface to leadership, customers, and external stakeholders; establish standard operating procedures, report test progress and risk, and advance industry test practices.

Desired Qualifications

  • Familiarity with networking, Linux operating systems, and radio communications.
  • Experience with hardware design selection and 3D prototyping.
  • Experience with modern software interfaces such as Codex and GitLab.
  • Experience with open-source flight-controller software and sensor integration.
  • Experience debugging autonomy subsystems through ROS logs.
  • Experience developing automated test tooling, validation frameworks, or data-analysis tools in continuous integration/continuous delivery (CI/CD) pipelines.

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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