Supplier Quality Specialist

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:
Our Supply Chain team strengthens supplier performance and protects production by overseeing supplier quality worldwide, assessing risk through supplier evaluations and internal reviews, leading failure investigations, and supporting proactive source qualification.
In this role, you will own day-to-day supplier quality execution, bringing discipline and responsiveness to issue management while enabling engineering teams to focus on high-priority technical challenges and preventive improvements. You will work across production and suppliers with internal stakeholders to contain defects quickly, resolve nonconformances, and implement corrective and preventive actions that minimize disruption to engineering and production.

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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.

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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

• Own supplier-related nonconformances identified at supplier facilities, during receiving and precision inspection, and throughout production, including Supplier Deviation Requests (SDRs).

• Manage nonconformance workflows, including Material Review Board (MRB) dispositions, Return to Vendor (RTV) activities, supplier Corrective and Preventive Action (CAPA), and production issue ticket reviews.

• Drive open issues toward resolution, coordinating containment, investigation, disposition, and corrective action with suppliers and internal teams.

• Coordinate containment of nonconforming material by locating affected products, partnering with Supplier Development Engineers to mitigate flight risk, and supporting root cause investigations.
• Bachelor's degree or 5+ years of experience in an engineering, supply chain, manufacturing or quality field,
• Bachelor’s degree in engineering or supply chain

• Strong written and verbal communication skills, able to liaise cross functionally, internally and externally, make presentations to team members and management

• Strong understanding of manufacturing processes and technical requirements

• Deep technical domain experience in PCBA manufacturing and Rework

• Qualified to IPC J-STD-001, IPC-A-610, IPC 7711/7721

• Experience reading engineering drawings, including Geometric Dimension and Tolerance (GD&T)

• Experience with AS9100 or similar quality management system standard.

• Knowledge of supplier quality processes (Part or Supplier Approval Processes, First Article Inspection Reports, etc.)

• Direct experience interfacing with suppliers, corrective/ preventive action systems, supplier portals

• Proficiency in MS Office applications

• Proficiency with lean concepts and statistical and data analytics