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Salary
$120k – $180k per year
Location
In office (Dallas)
Seniority
Staff · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Shield AI is an American defence technology company founded in 2015 that builds autonomy software and uncrewed aircraft for military missions. Its Hivemind autonomy stack lets aircraft fly, navigate and complete objectives without GPS, a remote pilot or a communications link, which matters in contested environments where those links are jammed. Headquartered in San Diego, California, the company fields the V-BAT vertical take-off aircraft with United States and allied forces, licenses Hivemind to other manufacturers and is developing the X-BAT jet for high-end missions.

Job Description:

Join a high-impact quality engineering team supporting next-generation autonomous systems deployed in demanding operational environments. This role works closely with engineering, manufacturing, test, and field operations teams to identify product quality issues, drive root cause investigations, and improve system reliability across the product lifecycle. You will serve as a key link between field performance and engineering execution by translating operational issues into measurable product improvements.

We are seeking a Field Quality Engineer with experience supporting complex hardware systems in aerospace, defense, robotics, or related industries, including failure analysis, corrective actions, reliability tracking, and cross-functional problem solving.

What you'll do:

  • Investigate field-reported issues and drive root cause analysis across hardware, software, and integrated systems
  • Partner with engineering, manufacturing, and test teams to implement corrective and preventive actions (CAPA)
  • Analyze reliability and performance trends to identify systemic quality issues and improve product robustness
  • Support validation, troubleshooting, and failure reproduction efforts for fielded systems
  • Develop quality metrics, reporting, and tracking tools to improve visibility into field performance and defect trends
  • Coordinate issue resolution across cross-functional teams while ensuring timely communication and closure

Required qualifications:

  • 5+ years of experience in quality engineering, field engineering, systems integration, manufacturing quality, or related technical roles
  • Strong experience with root cause analysis, failure investigation, and corrective action implementation in complex hardware environments
  • Ability to diagnose system-level issues across mechanical, electrical, and software interfaces
  • Experience analyzing reliability data, defect trends, and operational performance metrics
  • Strong communication and organizational skills with the ability to coordinate across engineering and operations teams
  • Demonstrated ability to manage multiple priorities in fast-paced development and operational environments

Preferred qualifications:

  • Experience supporting aerospace, defense, robotics, or autonomous systems programs
  • Familiarity with AS9100, ISO 9001, or regulated engineering environments
  • Experience with environmental testing, system validation, or field operations support
  • Experience using data analysis and reporting tools such as Python, SQL, Jira, Power BI, or Tableau
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