Amazon
Production Quality Engineer - Night Shift, Amazon Leo
$117K–$160K
REDMOND, WA +1 · Full-time · Posted Oct 16, 2026
- Location
- REDMOND, WA
Redmond, WA - Experience
- 2+ years for each of the two basic experience qualifications; preferred experience qualifications ask for 2+ years.
- Education
- Bachelor's degree in Mechanical or Electrical Engineering or a related field; preferred master's degree in electrical engineering, computer engineering, or equivalent.
- Visa sponsorship
- Candidates must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the job
Owns quality performance for satellite mechanism assemblies, improving production processes and preventing defects across Amazon Leo manufacturing.
What you'll do
- Define and validate assembly and test processes, qualification, inspection plans, and process monitoring; lead material review board (MRB) dispositions.
- Investigate defects, drive root-cause corrective actions and defect prevention, and report on subassembly quality performance.
- Partner with cross-functional teams on production process development, audits, continuous improvement, and quality-system compliance.
What they ask for
- Bachelor's degree in Mechanical or Electrical Engineering or a related field.
- 2+ years of experience developing functional specifications, design verification plans, and functional test procedures.
- 2+ years of experience leading APQP (PFMEA, CP, PFD, SPC, MSA).
Nice to have
- 2+ years performing root-cause analysis for functional test failures involving PCBA or mechanical failures; experience with data-querying or scripting languages or statistical/mathematical software.
- 2+ years improving semi-automated or fully automated processes using error-proofing systems such as Kyence, Cognex, or AI/ML vision systems; master's degree in electrical engineering, computer engineering, or equivalent.
Pay
117,300.00 - 160,000.00 USD annually (base salary)
Tools
APQP, PFMEA, CP, PFD, SPC, MSA, SQL, Python
AI focus
Preferred experience includes using AI/ML vision systems for process improvement and error-proofing.
Model-written summary · the original posting is authoritative