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Sr. Manufacturing HW Eng, AI​/ML & Storage server development

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon Inc.
Full Time position
Listed on 2026-10-24
Job specializations:
  • Engineering
    Quality Engineering
  • Quality Assurance - QA/QC
    Quality Engineering
Salary/Wage Range or Industry Benchmark: 159200 - 215300 USD Yearly USD 159200.00 215300.00 YEAR
Job Description & How to Apply Below
Team Introduction

AWS Hardware Engineering designs and delivers next-generation cloud infrastructure at global scale. Our Storage & AI/ML Manufacturing team owns the manufacturing engineering lifecycle for custom server platforms — from early design engagement and NPI execution through volume production, supplier quality, and continuous improvement. We partner with ODM/JDM design and manufacturing partners across a global network to deliver hardware at scale with exceptional quality.

We are seeking a Cloud Hardware Development Engineer (Manufacturing) to drive manufacturing excellence across our server portfolio. Depending on the specific role, you will own NPI execution, manufacturing process quality, test and diagnostic development, automation strategy, DFx standards, or reliability engineering — ensuring our platforms launch on time, at quality, and  will work directly with hardware design teams, ODM/CM partners, and cross-functional stakeholders to close the loop between design intent and manufacturing execution.

What You Will Do

You will own manufacturing engineering for cloud storage server platforms deployed at global scale. Your work spans the full product lifecycle: engaging early with design teams on manufacturability, driving NPI builds through EVT/DVT/PVT at partner sites, building quality systems and test strategies that scale across a multi-ODM network, and continuously improving yield, throughput, and cost. When a new storage platform launches into production, the manufacturing readiness, quality gates, reliability, and process controls are yours.

You treat manufacturing risk probabilistically — planning to distributions, not point estimates.

Why You Will Love It

The storage infrastructure you manufacture powers exabytes of customer data across AWS. You will see your process decisions, quality systems, and automation initiatives scale to millions of units across a global manufacturing network. The team is deeply technical, high-trust, and moves fast — you own your domain end to end, from early DFx engagement through production ramp and fleet operations.

The Ideal Candidate

You think across the full manufacturing stack — from PCBA assembly and SMT process control to system-level integration and rack deployment. You are as comfortable on an ODM production floor as you are analyzing yield data or reviewing a DFx scorecard. You drive quality through data and structured problem-solving, not assumption. You hold manufacturing partners to the same standard you hold yourself, and you communicate with clarity across engineering, operations, and leadership.

You look for automation and ML-assisted approaches to solve complex issues.

Key job responsibilities Process Quality & Supplier Management
  • Lead and oversee quality control processes across Contract Manufacturers (CM), Original Design Manufacturers (ODM), and component vendors
  • Own PFMEAs, Control Plans, and process flows from NPI startup through end of life
  • Drive Root Cause Corrective Action (RCCA) for manufacturing blockers, yield detractors, and quality escapes
  • Execute Test Rack Inspections and OK2

    Ship checklists; issue quality alerts, deviations, and ship-holds as required
  • Conduct factory audits and supplier quality assessments across the ODM/vendor network
  • Scale up manufacturing processes across a global network ensuring consistent quality and throughput targets
Manufacturing Test, Diagnostics & Debug
  • Design, develop, and maintain manufacturing test software and diagnostic tools deployed at ODM/CM lines
  • Debug complex system-level failures at the manufacturing line across compute, storage, networking, power, and thermal domains
  • Perform root cause analysis correlating across firmware, kernel, driver, PCIe, signal integrity, and physical…
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