Shield AI

Staff Engineer, Field Quality (R4958)

Shield AI$110K — $130K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in quality engineering or related field
  • Expertise in root cause analysis and failure investigations
  • Skilled in diagnosing issues across mechanical, electrical, and software systems
  • Experience with reliability data and operational metrics analysis
  • Strong organizational and communication skills
  • Proven ability to handle multiple tasks in fast-paced environments

Responsibilities

  • Investigate and analyze field-reported quality issues
  • Collaborate with teams to implement corrective actions
  • Track and analyze reliability trends to enhance product quality
  • Support troubleshooting and validation for deployed systems
  • Develop metrics and reporting tools for quality visibility
  • Coordinate cross-functional issue resolution and communication

Benefits

  • Comprehensive benefits package
  • Bonuses and equity options
  • Flexible employee offer packages based on role type
Full Job Description
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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Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

About Shield AI

Shield AI is a defense technology company that develops artificially intelligent systems for military applications. The company was founded in 2015 by Brandon Tseng, Ryan Tseng, and Andrew Reiter, and is headquartered in San Diego, California. Shield AI's products include autonomous drones and software that can be used for reconnaissance, surveillance, and other military operations. The company's mission is to reduce the number of military casualties by providing soldiers with better intelligence and situational awareness. Shield AI has received funding from a number of investors, including Andreessen Horowitz and Founders Fund.
Learn more about Shield AI
Size
200 employees
Industry
Founded
2015

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