Manufacturing hardware engineer, Cloud AI/ML/storage server teams

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 136,000 - 184,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Health insurance
401(k) matching

Job summary

Amazon Web Services (AWS) Hardware Engineering designs and delivers next-generation cloud infrastructure. We seek a Manufacturing Hardware Engineer to join our GPU Accelerator Hardware team, owning manufacturing stability, yield improvements, and ramp-to-fleet support.

You will be the primary interface between hardware design, supply chain, and contract manufacturers, ensuring manufacturability and exceptional quality as production scales up.

Qualifications

  • Bachelor's degree in Electrical or Mechanical Engineering or equivalent
  • 3+ years of end-to-end product delivery experience
  • 5+ years of manufacturing or manufacturing engineering experience in hardware platforms
  • Hands-on hardware debug across electrical, firmware, and mechanical domains
  • Experience with SMT assembly and PCB fabrication/assembly for HDI boards
  • Experience driving quality and schedule at multinational ODMs/CMs
  • Willingness to travel ~25% domestically and internationally

Responsibilities

  • NPI Manufacturing Engineering: own end-to-end NPI manufacturing for GPU accelerator platforms across EVT/DVT/PVT builds; develop test strategy and DFMEA/PFMEA reviews
  • Hardware Debug & Root Cause Analysis: debug complex line failures across hardware, firmware, power, thermal, and signal integrity
  • Quality, Automation & Continuous Improvement: implement test racks, OK2Ship checklists, and automation; analyze telemetry and failure patterns
  • Cross-Team Collaboration: support on-site with ODMs/CMs; coordinate with design, operations, firmware, test, and qualification teams
  • A day in the life: interface with internal customers to understand product requirements and improve throughput and reliability

Skills

End-to-end delivery
Hardware debugging
SMT assembly
Root cause analysis
ODM/CM collaboration
Travel readiness

Education

Bachelor's degree in Electrical/Mechanical Engineering
Master's degree (preferred)

Tools

DFx
FMEA
Test automation
Telemetry & data analysis

Job description

Amazon Web Services (AWS) Hardware Engineering designs and delivers next-generation cloud infrastructure. Our team builds custom accelerator systems that power AI, machine learning, and compute workloads at global scale. We are seeking a Manufacturing Hardware Engineer to join our GPU Accelerator Hardware team. In this role, you will own manufacturing stability and yield improvements, will engage from design phase through volume production and into fleet health. You will be hands‑on at the manufacturing line debugging complex system failures across hardware, firmware, and physical layers while driving manufacturing quality, test strategy, and process optimization.

You will serve as the primary engineering interface between hardware design teams, supply chain, and contract manufacturers (ODMs/CMs) — ensuring our products are optimized for manufacturability, launched with exceptional quality, and supported through production ramp. Success in this role requires deep technical curiosity, willingness to personally solve the hardest problems at the line, structured problem‑solving, and strong cross‑functional communication.

Key job responsibilities
  • NPI Manufacturing Engineering: own end‑to‑end NPI manufacturing execution for GPU accelerator platforms across EVT/DVT/PVT builds and pilot production; perform NUDD risk assessments and carry‑over analysis, develop First Build Readiness Plans, define manufacturing test strategy, lead DFx reviews, create manufacturing capacity plans, lead DFMEA/PFMEA reviews, develop TMI packages for CM enablement.
  • Hardware Debug & Root Cause Analysis: debug complex system failures during manufacturing — diving deep across hardware, firmware, power, thermal, and signal integrity layers; perform RCCA for manufacturing blockers; correlate failure modes across firmware, kernel, driver, thermal, power, and physical layers; apply knowledge of server architecture to resolve integration and test failures at the line.
  • Quality, Automation & Continuous Improvement: execute Test Rack Inspections and OK2Ship checklists; research automation techniques and develop test systems; drive predictive diagnostics using telemetry, test data trending, and failure pattern analysis; identify systemic quality issues and drive design improvements.
  • Cross‑Team Collaboration: provide on‑site ODM/CM support during critical builds; collaborate with internal teams on GPU module integration, thermal validation, and manufacturing requirements; partner with design engineering, operations, firmware, test, and qualification teams; manage manufacturing requirements, schedules, and deliverables across engineering teams, suppliers, and partners.
  • A day in the life: interface with internal customers to understand product requirements and facilitate system development on top of server designs; learn operational challenges; improve customer experience; work directly with vendors and ODMs to scale products; review new platform designs, analyze logs and telemetry data, chase failure modes, and thrive on varied responsibilities.
Basic Qualifications
  • Bachelor's degree or above in Electrical or Mechanical Engineering, or equivalent in Engineering, Mechanical Engineering, Operations, Supply Chain, or Business Administration.
  • 3+ years of end‑to‑end product delivery experience.
  • 5+ years of manufacturing or manufacturing engineering experience in server, accelerator, or high‑tech hardware platforms.
  • Hands‑on hardware debug experience — ability to root cause system‑level failures across electrical, firmware, and mechanical domains.
  • Experience with SMT assembly processes and PCB fabrication/assembly for HDI boards.
  • Experience driving quality and schedule execution at multinational ODMs/CMs.
  • Willingness to travel domestically and internationally (~25%), including extended on‑site support during critical builds.
Preferred Qualifications
  • Master's degree in Electrical or Mechanical Engineering.
  • Experience working in a fast‑paced, rapidly changing operations environment.
  • Experience with GPU‑based server or accelerator platform manufacturing.
  • Familiarity with server technologies: PCIe topology, NVMe, high‑speed bus design, signal integrity, power distribution.
  • Experience with DFx and FMEA methodologies.
  • Experience building or improving manufacturing test systems and automation.
  • Experience with failure analysis techniques and fleet‑scale defect trending.
  • Knowledge of firmware, BIOS, BMC, and their interaction with manufacturing test flows.
Equal Employment Opportunity

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Benefits

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

Compensation
  • USA, CA, Cupertino – $157,300.00 - $212,800.00 USD annually
  • USA, CO, Denver – $136,000.00 - $184,000.00 USD annually
  • USA, WA, Seattle – $136,000.00 - $184,000.00 USD annually

Company: Amazon Development Center U.S., Inc.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Manufacturing hardware engineer, Cloud AI/ML/storage server teams
Manufacturing hardware engineer, Cloud AI/ML/storage server teams

Amazon Web Services (AWS) • Cupertino (CA)

On-site
USD 157,000 - 213,000
Sr. Manufacturing Hardware Engineer, AI/ML Server Development
Sr. Manufacturing Hardware Engineer, AI/ML Server Development

Amazon Web Services (AWS) • Cupertino (CA)

On-site
USD 183,000 - 248,000
Sr. Manufacturing Hardware Engineer, AI/ML Server Development
Sr. Manufacturing Hardware Engineer, AI/ML Server Development

Amazon Web Services (AWS) • Seattle (WA)

On-site
USD 159,000 - 215,000
Sr. Manufacturing Hardware Engineer, AI/ML Server Development (AWS)
Sr. Manufacturing Hardware Engineer, AI/ML Server Development (AWS)

Amazon • Cupertino (CA)

On-site
USD 183,000 - 248,000
RSUs
Health insurance
401(k) matching
Sr Mfg NPI Product Engineer, AI/ML Server Development - Manufacturing team
Sr Mfg NPI Product Engineer, AI/ML Server Development - Manufacturing team

Amazon Web Services (AWS) • Denver (CO)

On-site
USD 159,200 - 215,300
Sr Mfg NPI Product Engineer, AI/ML Server Development - Manufacturing team (AWS)
Sr Mfg NPI Product Engineer, AI/ML Server Development - Manufacturing team (AWS)

Amazon • Cupertino (CA)

On-site
USD 183,000 - 248,000
Sr Mfg NPI Product Engineer, AI/ML Server Development - Manufacturing team
Sr Mfg NPI Product Engineer, AI/ML Server Development - Manufacturing team

Amazon Web Services (AWS) • Cupertino (CA)

On-site
USD 183,000 - 248,000
Manufacturing System Development Engineer, Cloud AI/ML/storage server teams
Manufacturing System Development Engineer, Cloud AI/ML/storage server teams

Amazon Web Services (AWS) • Denver (CO)

On-site
USD 129,200 - 174,800
Manufacturing System Development Engineer, Cloud AI/ML/storage server teams
Manufacturing System Development Engineer, Cloud AI/ML/storage server teams

Amazon Web Services (AWS) • Cupertino (CA)

On-site
USD 148,000 - 202,000
Health insurance
401(k) matching
Paid time off
+1
Manufacturing hardware engineer, Cloud AI/ML/storage server teams
Manufacturing hardware engineer, Cloud AI/ML/storage server teams

Amazon Web Services (AWS) • Denver (CO)

On-site
USD 136,000 - 184,000
Health insurance
401(k) matching
Paid time off
+1