NPI SSD Manufacturing Engineer – Yield & Launch

Amazon Web Services (AWS)

Cupertino (CA)

On-site

USD 157,000 - 213,000

Full time

14 days+
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Job summary

Amazon Web Services, Inc. in Cupertino, CA is seeking a Manufacturing Engineer to own the hardware launch and resolve process issues across global suppliers. You will drive manufacturing quality, yield improvements, and reliability for SSD/NAND devices, partnering with CM/ODM and internal teams.

The role requires hands-on debugging, cross-functional collaboration, and ongoing process optimization to meet AWS standards and customer demands.

Qualifications

  • Bachelor's or Master's in Mechanical, Industrial or Manufacturing Engineering or equivalent.
  • 3+ years of Manufacturing Engineering experience with storage drives or server hardware.
  • Experience with failure analysis and root-cause investigations.
  • Familiarity with hardware bring-up and reliability concepts.

Responsibilities

  • Evaluate and optimize designs for manufacturing quality and efficiency of SSDs and server integration.
  • Scale up manufacturing on new SSD products across a global network.
  • Lead and oversee quality control across CM/ODM and suppliers.
  • Provide hands-on support during new product introductions and launches.
  • Investigate escalations via root-cause analysis and corrective actions.
  • Develop hardware reliability plans and analyze AFR and DPPM impacts.
  • Coordinate ORR and Ok2Ship readiness for manufacturing sites.

Skills

Manufacturing Engineering
Statistical analysis
Failure analysis
Hardware bring-up

Education

Bachelor's or Master’s in Mechanical/Industrial/Manufacturing Engineering

Tools

Six Sigma tools

Job description

Amazon Web Services, Inc. in Cupertino, CA is seeking a Manufacturing Engineer to own the hardware launch and resolve process issues across global suppliers. You will drive manufacturing quality, yield improvements, and reliability for SSD/NAND devices, partnering with CM/ODM and internal teams.

The role requires hands-on debugging, cross-functional collaboration, and ongoing process optimization to meet AWS standards and customer demands.

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