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Shield AI

Builds autonomous aircraft for defense

Quality Engineering Technician 4 - Quality Engineering

Inspection & Test +1Updated on Nov 11
Full-timeDallas, TX, USAIn-person

About the Job

Requirements

  • At least 3 years of experience in quality inspection, test technician, manufacturing, or engineering support roles.
  • Experience using measurement and diagnostic tools such as calipers, multimeters, torque tools, and other inspection equipment.
  • Ability to read and interpret engineering drawings, work instructions, and technical documentation.
  • Troubleshooting and organizational skills in fast-paced hardware development or production environments.
  • Experience documenting quality issues, test results, and inspection data with attention to detail.

Responsibilities

  • Perform inspections, testing, and quality verification activities across mechanical and electrical systems.
  • Support failure investigations, troubleshooting, and root cause analysis efforts for hardware and integrated systems.
  • Collect, document, and analyze quality and test data to support engineering and manufacturing teams.
  • Assist with nonconformance tracking, corrective actions, and quality documentation.
  • Support validation and environmental testing activities, including setup, instrumentation, and data capture.
  • Partner with engineering and production teams to improve quality processes, inspection methods, and product reliability.

Desired Qualifications

  • Experience supporting aerospace, defense, robotics, or autonomous systems programs.
  • Familiarity with AS9100, ISO 9001, or regulated manufacturing environments.
  • Experience with environmental or system-level testing activities.
  • Basic experience with data analysis or scripting tools such as Excel, Python, Jira, or SQL.

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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