Sr. Manufacturing Hardware Engineer, AI/ML Server Development
Amazon· Internet & Cloud Services· Jul 17, 2026 · 3mo agoPosted 102 days ago
Cupertino, California, USA
In office
Full-time
Senior
$183K–$248K
5+ years exp
Before you apply
Ghost Signal:
Open since July 17, 2026 — 102 days, and still accepting applications.
Job description
Application deadline: Aug 21, 2026
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 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.
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 to identify and mitigate manufacturing risks before design freeze
- Develop First Build Readiness Plans encompassing BOM availability, assembly strategy, test code readiness, and build instructions
- Define Manufacturing Test Strategy including test flows, coverage, fixture requirements (ICT, BFT, system-level), and buy-off criteria
- Lead DFx reviews (DFM/DFA/DFT) leveraging mechanical CAD models, gerber files, and mock-up samples; drive design improvements with hardware engineering teams
- Create manufacturing capacity plans with line balance and cycle time analysis to maximize throughput
- Lead DFMEA/PFMEA reviews; develop process flow diagrams and quality control plans
- Develop Technical Manufacturing Information (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 to drive root cause
- Perform root cause corrective action (RCCA) for manufacturing blockers, yield detractors, and quality escapes
- Correlate failure modes across firmware, kernel, driver, thermal, power, and physical layers
- Apply knowledge of server architecture (CPU, GPU, memory, NVMe, PCIe) to resolve integration and test failures at the manufacturing line
Quality, Automation & Continuous Improvement
- Execute Test Rack Inspections and OK2Ship checklists; issue quality alerts, deviations, and ship-holds as required
- Research automation techniques and develop new test systems to improve manufacturing efficiency and reduce manual intervention
- Drive toward predictive diagnostics using manufacturing telemetry, test data trending, and failure pattern analysis
- Identify systemic quality issues and drive design improvements in partnership with hardware engineering teams
Cross-Team Collaboration
- Provide on-site ODM/CM support during critical builds and production ramp
- Collaborate with internal teams on GPU module integration, thermal validation, and manufacturing requirements
- Partner with design engineering, operations, firmware, test, and qualification teams to close the loop between manufacturing issues and design improvements
- Manage manufacturing requirements, schedules, and deliverables across engineering teams, suppliers, and partners
A day in the life
Your 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.
- Bachelor's degree or above in Electrical or Mechanical Engineering, or Bachelor's degree in Engineering, Mechanical Engineering, Operations, Supply Chain, or Business Administration
- 5+ years of end to end product delivery experience
- 7+ 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
- Master's degree in Electrical or Mechanical Engineering
- 3+ years of operations management experience
- Experience with GPU-based server or accelerator platform manufacturing
- Familiarity with server technologies: PCIe topology, NVMe, high-speed bus design, signal integrity, power distribution
- 3+ years of experience with DFx and FMEA methodologies
- 3+ years of experience building or improving manufacturing test systems and automation
- 3+ years of experience with failure analysis techniques and fleet-scale defect trending
- Knowledge of firmware, BIOS, BMC, and their interaction with manufacturing test flows
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.
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, including support for the interview or onboarding process, please visit amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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 amazon.jobs .
USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually
USA, CO, Denver - 159,200.00 - 215,300.00 USD annually
USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually
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Keywords to mirror
awsaimachine learning
- Platform
- amazon
- Effort
- medium
Benefits
Benefits detected in the listing.
Health Insurance
Dental
Vision
401(K)
Paid Time Off
Parental Leave