Shield AI
Staff Engineer, Field Quality (R4958)
Dallas, Texas · On-site · Staff
- Discipline
- Hardware
- Industry
- Defense
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Aircraft Operations Division
Field Quality Engineer supporting complex hardware systems in aerospace/defense; translate field issues into product improvements, collaborate across engineering, manufacturing, test, and field ops.
0+ years
Required
- quality engineering
- field quality
- aerospace/defense experience
- failure analysis
- corrective actions
- reliability tracking
- cross-functional problem solving
Preferred
- experience with autonomous systems
- manufacturing/testing interaction
- root cause investigations
- system reliability improvements
Employer description
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
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.
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