Sr. Production Quality Engineer - Split Shift, Leo

Sr. Production Quality Engineer - Split Shift, Amazon Leo

Amazon Leo is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.

The Leo Manufacturing Quality team is driven to deliver high-quality product lines while maintaining a fast production rate. This position will join the team at an exciting moment, with an opportunity to directly own the quality outputs of some of our critical sub-systems.

As a Sr. Production Quality Engineer, you will own product performance for some of the most critical sub-assemblies of the satellite, delivering creative solutions to reduce defects and planning to prevent defects using technical quality skills.

Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

• Lead as Product QE over satellite mechanism assemblies, including process definition and validation for assembly and test methods, part and process qualification, inspection plans, in-process inspection capabilities, and process monitoring.
• Lead MRB discussions to determine product dispositions for nonconforming material.
• Dive deep into defect reduction activities for the mechanisms subassemblies and drive innovative solutions to prevent recurrence of defects.
• Work directly with Inspection, Supplier Quality, and Engineering teams to develop and qualify inspection, monitoring, and verification methods for the Leo Production System across the production system and ensure a no-defect mentality.
• Be a Quality SME for the mechanisms sub-assemblies, owning defect reduction, reporting, and overall quality performance, including electromechanical hardware, high cleanliness/FOD sensitivity, tight tolerances, and high-precision machined parts with high criticality attributes.
• Lead and develop new and novel process mechanisms for cross-functional production system teams.
• Split Shift 4x10 (Day, Night Split): SUN-WED Day (10 AM to 8 PM); WED-SAT Day (10 AM to 8 PM).

A day in the life

• Perform daily defect resolution as the Quality member.
• Investigate Production System issues to reduce defect rates and drive root cause corrective actions.
• Implement the Amazon Leo Quality System through process development and launch mechanisms.
• Partner with cross-functional groups to develop and qualify internal production processes, including Quality Assurance processes.
• Conduct rigorous Continuous Improvement activities to prevent recurrence of non-conformances during assembly.
• Perform audit activities to ensure compliance with QMS requirements.
• Develop and modify process flow diagrams, PFMEAs, control plans, MSAs, and other APQP artifacts to support continued high-quality production.
• Work within an AS9100 certified quality system.

• Bachelor's degree in Mechanical or Electrical Engineering or a related field
• 4+ years of experience in developing functional specifications, design verification plans and functional test procedures
• 4+ years of experience in leading containment activities
• 4+ years of experience in leading APQP (PFMEA, CP, PFD, SPC, MSA)

• Master's degree in electrical engineering, computer engineering, or equivalent
• Experience working with interdisciplinary teams to execute product design from concept to production
• Experience with the project management of technical projects
• 4+ years of experience in performing RCA for functional test failure for PCBA or mechanical failures
• 4+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) experience
• 4+ years experience in semi-automated and fully automated process improvement to add error-proofing to systems, such as Kyence, Cognex or other AI/ML Vision systems

Amazon is an…