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Shield AIShield AI

Staff Engineer, Field Quality (R4958)

Staff Engineer investigates field issues in autonomous hardware systems, drives root cause analysis, implements corrective actions, and improves reliability through cross-functional collaboration. Requires 5+ years in quality engineering for complex hardware in aerospace/defense/robotics.

About the job

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

Skills

Python, SQL, Jira, Power BI, Tableau, Root Cause Analysis, Failure Investigation, Reliability Analysis, Capa, As9100, Iso 9001

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