Amazon
Sr. Production Quality Engineer - Split Shift, Amazon Leo
$137K–$186K
Redmond, WA · Senior · Full-time · Posted Jul 15, 2026
- Experience
- 4+ years in each of the three experience areas specified in the basic qualifications; preferred experience also includes 4+ years in RCA, data/scripting/statistical tools, and automated process improvement.
- 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 subassemblies by defining and validating production processes, resolving defects, and preventing recurrence.
What you'll do
- Lead process definition, validation, qualification, inspection planning, and monitoring for satellite mechanism assemblies.
- Determine dispositions for nonconforming material and drive defect reduction and root-cause corrective actions.
- Develop and qualify production quality methods, conduct audits and continuous improvement, and maintain APQP artifacts within an AS9100 quality system.
What they ask for
- Bachelor's degree in Mechanical or Electrical Engineering or a related field.
- 4+ years of experience developing functional specifications, design verification plans, and functional test procedures.
- 4+ years of experience leading containment activities.
- 4+ years of experience leading APQP (PFMEA, CP, PFD, SPC, MSA).
Nice to have
- Master's degree in electrical engineering, computer engineering, or equivalent.
- Experience with interdisciplinary product development, technical project management, RCA, data or scripting tools, or automated process improvement.
Pay
USD 137,300.00 - 185,700.00 annually (base salary)
Tools
APQP, PFMEA, CP, PFD, SPC, MSA, SQL, Python
AI focus
Preferred experience includes automated process improvement using AI/ML Vision systems such as Kyence or Cognex.
Model-written summary · the original posting is authoritative