{"schemaVersion":"jobsearcher.job.v1","id":"debadc74444cea9ca6ca82c4","url":"https://jobsearcher.com/jobs/debadc74444cea9ca6ca82c4","canonicalUrl":"https://jobsearcher.com/jobs/debadc74444cea9ca6ca82c4","title":"Sr. Manufacturing Hardware Engineer, AI/ML Server Development","description":"Description\nApplication deadline: Jul 22, 2026\n\nAmazon 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.\n\nWe are seeking a Sr. 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.\n\nYou 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.\n\nSuccess 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.\n\nKey job responsibilities\nNPI Manufacturing Engineering\n\nOwn end‑to‑end NPI manufacturing execution for GPU accelerator platforms across EVT/DVT/PVT builds and pilot production\n\nPerform NUDD risk assessments and carry‑over analysis to identify and mitigate manufacturing risks before design freeze\n\nDevelop First Build Readiness Plans encompassing BOM availability, assembly strategy, test code readiness, and build instructions\n\nDefine Manufacturing Test Strategy including test flows, coverage, fixture requirements (ICT, BFT, system‑level), and buy‑off criteria\n\nLead DFx reviews (DFM/DFA/DFT) leveraging mechanical CAD models, gerber files, and mock‑up samples; drive design improvements with hardware engineering teams\n\nCreate manufacturing capacity plans with line balance and cycle time analysis to maximize throughput\n\nLead DFMEA/PFMEA reviews; develop process flow diagrams and quality control plans\n\nDevelop Technical Manufacturing Information (TMI) packages for CM enablement\n\nHardware Debug & Root Cause Analysis\n\nDebug complex system failures during manufacturing — diving deep across hardware, firmware, power, thermal, and signal integrity layers to drive root cause\n\nPerform root cause corrective action (RCCA) for manufacturing blockers, yield detractors, and quality escapes\n\nCorrelate failure modes across firmware, kernel, driver, thermal, power, and physical layers\n\nApply knowledge of server architecture (CPU, GPU, memory, NVMe, PCIe) to resolve integration and test failures at the manufacturing line\n\nQuality, Automation & Continuous Improvement\n\nExecute Test Rack Inspections and OK2Ship checklists; issue quality alerts, deviations, and ship‑holds as required\n\nResearch automation techniques and develop new test systems to improve manufacturing efficiency and reduce manual intervention\n\nDrive toward predictive diagnostics using manufacturing telemetry, test data trending, and failure pattern analysis\n\nIdentify systemic quality issues and drive design improvements in partnership with hardware engineering teams\n\nCross-Team Collaboration\n\nProvide on‑site ODM/CM support during critical builds and production ramp\n\nCollaborate with internal teams on GPU module integration, thermal validation, and manufacturing requirements\n\nPartner with design engineering, operations, firmware, test, and qualification teams to close the loop between manufacturing issues and design improvements\n\nManage manufacturing requirements, schedules, and deliverables across engineering teams, suppliers, and partners\n\nA day in the life\nYour day‑to‑day responsibilities include interfacing with internal customers to understand product requirements and facilitate system development on top of your server designs. You will learn operational challenges facing our existing fleet with the goal of improving the current customer experience and developing improved systems for future designs. You will work directly with vendors and ODM (manufacture partners) to scale your product. Some days you're reviewing a new platform design with your ODM; other days you're deep in logs and telemetry data chasing a failure mode across the fleet. You thrive on that range.\n\nBasic Qualifications\n\nBachelor's degree or above in Electrical or Mechanical Engineering, or Bachelor's degree in Engineering, Mechanical Engineering, Operations, Supply Chain, or Business Administration\n\n5+ years of end to end product delivery experience\n\n7+ years of manufacturing or manufacturing engineering experience in server, accelerator, or high‑tech hardware platforms\n\nHands‑on hardware debug experience — ability to root cause system‑level failures across electrical, firmware, and mechanical domains\n\nExperience with SMT assembly processes and PCB fabrication/assembly for HDI boards\n\nExperience driving quality and schedule execution at multinational ODMs/CMs\n\nWillingness to travel domestically and internationally (~25%), including extended on‑site support during critical builds\n\nPreferred Qualifications\n\nMaster's degree in Electrical or Mechanical Engineering\n\n3+ years of operations management experience\n\nExperience with GPU‑based server or accelerator platform manufacturing\n\nFamiliarity with server technologies: PCIe topology, NVMe, high‑speed bus design, signal integrity, power distribution\n\n3+ years of experience with DFx and FMEA methodologies\n\n3+ years of experience building or improving manufacturing test systems and automation\n\n3+ years of experience with failure analysis techniques and fleet‑scale defect trending\n\nKnowledge of firmware, BIOS, BMC, and their interaction with manufacturing test flows\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nLos 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.\n\nThe 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 .\n\nUSA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually\n\nUSA, CO, Denver - 159,200.00 - 215,300.00 USD annually\n\nUSA, WA, Seattle - 159,200.00 - 215,300.00 USD annually\n\n#J-18808-Ljbffr","company":"Amazon","rawCompany":"amazon","city":"Seattle","state":"WA","isRemote":false,"isActive":true,"createdAt":"2026-07-23T03:22:43.066Z","occupations":[{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Manufacturing Hardware Engineer, AI/ML Server Development","description":"Description\nApplication deadline: Jul 22, 2026\n\nAmazon 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.\n\nWe are seeking a Sr. 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.\n\nYou 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.\n\nSuccess 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.\n\nKey job responsibilities\nNPI Manufacturing Engineering\n\nOwn end‑to‑end NPI manufacturing execution for GPU accelerator platforms across EVT/DVT/PVT builds and pilot production\n\nPerform NUDD risk assessments and carry‑over analysis to identify and mitigate manufacturing risks before design freeze\n\nDevelop First Build Readiness Plans encompassing BOM availability, assembly strategy, test code readiness, and build instructions\n\nDefine Manufacturing Test Strategy including test flows, coverage, fixture requirements (ICT, BFT, system‑level), and buy‑off criteria\n\nLead DFx reviews (DFM/DFA/DFT) leveraging mechanical CAD models, gerber files, and mock‑up samples; drive design improvements with hardware engineering teams\n\nCreate manufacturing capacity plans with line balance and cycle time analysis to maximize throughput\n\nLead DFMEA/PFMEA reviews; develop process flow diagrams and quality control plans\n\nDevelop Technical Manufacturing Information (TMI) packages for CM enablement\n\nHardware Debug & Root Cause Analysis\n\nDebug complex system failures during manufacturing — diving deep across hardware, firmware, power, thermal, and signal integrity layers to drive root cause\n\nPerform root cause corrective action (RCCA) for manufacturing blockers, yield detractors, and quality escapes\n\nCorrelate failure modes across firmware, kernel, driver, thermal, power, and physical layers\n\nApply knowledge of server architecture (CPU, GPU, memory, NVMe, PCIe) to resolve integration and test failures at the manufacturing line\n\nQuality, Automation & Continuous Improvement\n\nExecute Test Rack Inspections and OK2Ship checklists; issue quality alerts, deviations, and ship‑holds as required\n\nResearch automation techniques and develop new test systems to improve manufacturing efficiency and reduce manual intervention\n\nDrive toward predictive diagnostics using manufacturing telemetry, test data trending, and failure pattern analysis\n\nIdentify systemic quality issues and drive design improvements in partnership with hardware engineering teams\n\nCross-Team Collaboration\n\nProvide on‑site ODM/CM support during critical builds and production ramp\n\nCollaborate with internal teams on GPU module integration, thermal validation, and manufacturing requirements\n\nPartner with design engineering, operations, firmware, test, and qualification teams to close the loop between manufacturing issues and design improvements\n\nManage manufacturing requirements, schedules, and deliverables across engineering teams, suppliers, and partners\n\nA day in the life\nYour day‑to‑day responsibilities include interfacing with internal customers to understand product requirements and facilitate system development on top of your server designs. You will learn operational challenges facing our existing fleet with the goal of improving the current customer experience and developing improved systems for future designs. You will work directly with vendors and ODM (manufacture partners) to scale your product. Some days you're reviewing a new platform design with your ODM; other days you're deep in logs and telemetry data chasing a failure mode across the fleet. You thrive on that range.\n\nBasic Qualifications\n\nBachelor's degree or above in Electrical or Mechanical Engineering, or Bachelor's degree in Engineering, Mechanical Engineering, Operations, Supply Chain, or Business Administration\n\n5+ years of end to end product delivery experience\n\n7+ years of manufacturing or manufacturing engineering experience in server, accelerator, or high‑tech hardware platforms\n\nHands‑on hardware debug experience — ability to root cause system‑level failures across electrical, firmware, and mechanical domains\n\nExperience with SMT assembly processes and PCB fabrication/assembly for HDI boards\n\nExperience driving quality and schedule execution at multinational ODMs/CMs\n\nWillingness to travel domestically and internationally (~25%), including extended on‑site support during critical builds\n\nPreferred Qualifications\n\nMaster's degree in Electrical or Mechanical Engineering\n\n3+ years of operations management experience\n\nExperience with GPU‑based server or accelerator platform manufacturing\n\nFamiliarity with server technologies: PCIe topology, NVMe, high‑speed bus design, signal integrity, power distribution\n\n3+ years of experience with DFx and FMEA methodologies\n\n3+ years of experience building or improving manufacturing test systems and automation\n\n3+ years of experience with failure analysis techniques and fleet‑scale defect trending\n\nKnowledge of firmware, BIOS, BMC, and their interaction with manufacturing test flows\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nLos 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.\n\nThe 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 .\n\nUSA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually\n\nUSA, CO, Denver - 159,200.00 - 215,300.00 USD annually\n\nUSA, WA, Seattle - 159,200.00 - 215,300.00 USD annually\n\n#J-18808-Ljbffr","datePosted":"2026-07-23T03:22:43.066Z","dateModified":"2026-07-23T03:22:43.066Z","hiringOrganization":{"@type":"Organization","name":"Amazon","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"debadc74444cea9ca6ca82c4"},"url":"https://jobsearcher.com/jobs/debadc74444cea9ca6ca82c4"}}