Engineer I, Quality (R5976)
Seattle, United States · On-site · Full-time
- Posted 2w ago
- From Shield AI’s careers page
- Location
- Seattle, United States
- Work mode
- On-site
- Type
- Full-time
- Level
- Entry Level
- Experience
- 0+ years
- Department
- Quality Assurance
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About the role
What you'll do:
- Support Quality Engineering activities across the XBAT product development lifecycle.
- Partner with Design Engineering to identify product risks and establish appropriate controls.
- Participate in design reviews, manufacturing readiness reviews, test reviews, and other development milestones from a quality perspective.
- Support investigation and root cause analysis of prototype, test, and manufacturing failures.
- Lead or support RCCA activities using structured problem-solving methodologies.
- Support management of nonconforming material and prototype hardware, including containment, investigation, disposition, and documentation.
- Evaluate engineering and manufacturing changes for quality risks and support implementation of appropriate verification activities.
- Support development of inspection, test, and verification strategies based on product risk.
- Support First Article Inspection and other product verification activities as XBAT transitions toward production.
- Support audits and assessments of XBAT development processes against AS9100, customer, contractual, and program requirements.
- Develop and maintain quality documentation, procedures, checklists, and objective evidence.
Required qualifications:
- Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, Quality Engineering, or a related engineering discipline.
- 0–3 years of engineering, quality, manufacturing, test, or related experience.
Preferred qualifications:
- Internship, co-op, or project experience in aerospace, defense, automotive, robotics, electronics, or other complex product development.
- Familiarity with AS9100 or other aerospace/quality management systems.
- Experience with root cause analysis, 8D, RCCA, CAPA, DMAIC, or similar methodologies.
- Familiarity with FMEA, risk management, or reliability engineering.
- Experience participating in design reviews, test activities, or product development projects.
- Understanding of configuration management and engineering change processes.
- Familiarity with GD&T and engineering drawings.
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About Shield AI
AI systems for defense and autonomous aircraftShield AI develops AI-enabled aircraft and autonomous systems, including Hivemind, to support service members and civilians.
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