Staff Engineer, Quality (R4840) in Seattle

Energy Jobline ZR; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Bonus

Benefits

Equity

Job summary

Shield AI in Seattle is hiring a Staff Quality Engineer to drive quality across the product lifecycle, from design through full-rate production.

You will develop and maintain robust quality systems aligned with AS9100, lead root cause investigations, and collaborate with engineering, manufacturing, and supplier teams to ensure reliable autonomous systems for aerospace applications.

Qualifications

• Bachelor's degree in Engineering or related field.
• 5+ years in Quality, Manufacturing, or Process Engineering roles.
• Experience leading RCA/CAPA.
• Strong knowledge of AS9100 or similar.
• Experience supporting NPI and scaling production.
• Proficiency in statistical analysis and SPC.

Responsibilities

• Lead quality initiatives across the product lifecycle.
• Develop and maintain quality systems aligned with AS9100.
• Lead RCA investigations and implement CAPA.
• Partner with engineering, manufacturing, and supplier teams.
• Support NPI efforts, establish control plans & inspection strategies.
• Use data-driven methods to monitor and improve manufacturing performance.

Skills

Quality engineering

RCA & CAPA

AS9100 knowledge

NPI & scale-up

SPC / statistical analysis

Cross-functional teamwork

Education

Bachelor’s degree in Engineering or related field

Tools

QMS

MES

PLM

Job description

Job DescriptionJob 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-BATaircraft, 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, www.shield.ai. Follow Shield AI onLinkedIn,X,Instagram, andYouTube.
Job Description: At Shield AI, we’re building advanced autonomous aircraft that are redefining what is possible, and we are looking for a Staff Quality Engineer to help ensure our products meet the highest standards of performance, reliability, and safety. In this role, you will lead quality initiatives across the product lifecycle, driving improvements from early design and new product introduction through full-rate production. You will be responsible for developing and maintaining robust quality systems in alignment with AS9100 standards, leading root cause investigations and implementing effective corrective and preventive actions. You will partner closely with engineering, manufacturing, and supplier teams to identify risks, improve process capability, and ensure consistent product quality. Your work will include supporting NPI efforts, establishing control plans and inspection strategies, and using data-driven methods to monitor and improve manufacturing performance.
As a Staff Quality Engineer, you will play a key role in shaping quality strategy, mentoring team members, and influencing cross-functional decisions without direct authority. This is an opportunity to work hands on with next aerospace technology and contribute directly to the delivery of highly reliable autonomous systems that will define the future of aviation. Required qualifications:

• Bachelor’s degree in Engineering or a related technical field (or equivalent practical experience)
• 5+ years of experience in Quality, Manufacturing, or Process Engineering roles
• Demonstrated experience leading root cause analysis and implementing effective corrective and preventive actions (RCA/CAPA)
• Strong knowledge of quality systems and standards (AS9100 or similar)
• Experience supporting new product introduction (NPI) and scaling production in a manufacturing environment
• Proficiency in statistical analysis and process control methods (SPC, capability analysis, etc.)
• Proven ability to work cross-functionally and influence engineering, manufacturing, and supplier teams

qualifications:

• Experience in aerospace, defense, or other high-reliability industries
• ASQ Certified Quality Engineer (CQE), Lean Six Sigma certification, or equivalent
• Knowledge of design for quality principles, including DFMEA, tolerance analysis, and design reviews
• Experience working with quality and manufacturing systems (QMS, MES, PLM) and data analysis tools
• Familiarity with advanced inspection or test methods (metrology, NDT, automated inspection, etc.)

*Compensation for this role is based on the position’s work location. The salary range shown reflects the listed location and may vary if the position is based in a different geographic market. Actual compensation will also consider factors such as experience, skills, qualifications, and internal equity.
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. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed toequal employment opportunity regardless of , , ancestry, , , , , , marital status, , or Veteran status. If you have a or special need that requires accommodation, please let us know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.