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Shield AI

Builds autonomous aircraft for defense

Software Test and Automation Manager

Engineering LeadershipUpdated on Nov 14
Full-timeSan Diego, CA, USANo salary listedIn-person

About the Job

Requirements

  • Experience supporting autonomous systems, robotics, or unmanned platforms is preferred.
  • Experience with software quality tools such as SonarQube is preferred.
  • Experience with ROS is preferred.
  • Experience developing software readiness metrics, dashboards, and executive reporting is preferred.
  • Experience supporting Department of Defense programs and customer demonstrations is preferred.

Responsibilities

  • Lead and grow a team of Software Test & Automation Engineers supporting Expeditionary and Emerging Operations.
  • Define verification and validation strategies spanning simulation, Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), Vehicle-in-the-Loop (VIL), and operational test environments.
  • Drive the development of automated regression testing, validation frameworks, and test infrastructure that improve software quality and engineering velocity.
  • Establish software readiness criteria, quality gates, and objective performance metrics used to assess autonomy maturity throughout the development lifecycle.
  • Partner with Digital Infrastructure to integrate automated validation into Continuous Integration/Continuous Delivery (CI/CD) pipelines and expand continuous testing capabilities.
  • Develop common automation frameworks, reusable test assets, and validation methodologies across multiple autonomy programs.
  • Coordinate software readiness activities with software engineering, systems engineering, platform integration, and flight test teams.
  • Develop technical roadmaps, staffing plans, and engineering priorities aligned with organizational objectives.
  • Mentor engineers, conduct performance reviews, recruit top talent, and foster technical excellence across the organization.
  • Present software readiness assessments, technical risks, and validation status to program leadership, Chief Engineers, and executive stakeholders.

Desired Qualifications

  • Experience supporting autonomous systems, robotics, or unmanned platforms.
  • Experience with software quality tools such as SonarQube.
  • Experience with ROS.
  • Experience developing software readiness metrics, dashboards, and executive reporting.
  • Experience supporting Department of Defense programs and customer demonstrations.

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
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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