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

Amazon· Hardware Development
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Hybrid (Cupertino / Seattle / Denver)$159.2k - $215.3kFull-timePosted yesterday

About the role

Cloud Hardware Development Engineer focusing on manufacturing engineering for AWS Storage & AI/ML server platforms. Responsible for NPI through production, quality, automation, DFx, reliability, and cross-functional collaboration with ODM/JDM partners to launch storage servers at global scale.

Responsibilities

  • 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 OK2Ship 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
  • 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 layers to isolate faults
  • Build automation that reduces manual triage — enabling faster fault isolation and higher first-pass yield
  • Develop and optimize system-level test flows (BFT, functional test, stress test, burn-in) for storage server platforms
  • Analyze test data and yield trends to identify systemic issues; drive design and process improvements
  • Own automation strategy, equipment selection, and ROI justification for manufacturing line automation
  • Develop and implement manufacturing test fixtures at the server and rack level
  • Define processes around assembly and test fixtures to ensure consistent, repeatable results
  • Research and implement automation techniques to improve manufacturing efficiency and reduce human intervention
  • Scale up tooling, fixturing, and process across the manufacturing network; standardize across multiple ODM sites
  • Build, manage, and deploy CI/CD pipelines for rapid deployment of test code to manufacturing environments
  • Lead DFx reviews (DFM/DFA/DFT) leveraging mechanical CAD models, gerber files, and mock-up samples; drive design improvements in partnership with hardware engineering
  • Develop and maintain DFx scorecards and NPI playbooks that capture cross-program learnings
  • Define manufacturing engineering standards and design best practices adopted across teams and partner organizations
  • Drive cross-vertical knowledge reuse — ensuring lessons from one program propagate to others
  • Collaborate on manufacturing simulation, digital twin, and throughput modeling initiatives
  • Own the interface between design intent and manufacturing execution for DFx requirements
  • Own cross-program reliability coverage, matrixed to verticals on demand
  • Monitor fleet quality metrics post-launch: server-level annualized failure rates and component-level failure modes
  • Correlate component-level failure data with manufacturing lot information to identify systemic issues
  • Partner with test and fleet health teams to ensure manufacturing diagnostics align with production monitoring and field failure analysis
  • Drive design or process changes for current and future platforms based on operational telemetry
  • Perform risk assessment, mitigation, and change management throughout the product lifecycle

Qualifications

  • Bachelor's degree or above in Electrical or Mechanical Engineering, or Bachelor's degree in Engineering, Mechanical Engineering, Operations, Supply Chain, or Business Administration
  • Bachelor's degree in Manufacturing, Chemical, Industrial or Electrical Engineering or a related technical discipline
  • 6+ years of manufacturing engineering experience in NPI, process development, or production engineering within semiconductor, server/datacenter hardware, electronics, or high-tech manufacturing
  • 3+ years of end-to-end NPI product delivery experience from concept through volume production
  • Hands-on experience with SMT assembly processes/PCB fabrication, or industrial automation or robotics
  • Strong data analysis skills using statistical tools (JMP, Minitab, Excel, Python) to drive data-driven decisions
  • Experience driving quality and schedule execution at multinational JDM, ODM, CM, and supplier partners

Skills

Required:Manufacturing quality engineeringManufacturing test software and diagnosticsDFx (DFM/DFA/DFT)

Benefits

  • Health insurance (medical, dental, vision)
  • 401(k) matching
  • Paid time off
  • Parental leave
  • Employee stock options / RSUs
  • Flexible Spending Accounts
  • Mental health support
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

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