Manufacturing Engineer, AWS Hardware Engineering Services, AI Ultraservers

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 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.

Basic Qualifications

- 3+ years of end to end product delivery experience
- Bachelor's degree in Manufacturing Engineering, Chemical Engineering, Mechanical Engineering, Industrial Engineering, Electrical Engineering, Automation/Robotics Engineering, Mechatronics, or related technical discipline
- 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 Manufacturing Engineering, Chemical engineering, Mechanical Engineering, Industrial Engineering, or related field
- 5+ years of relevant industry experience spanning semiconductor equipment, wafer fab operations, advanced packaging, or automotive industry or high-volume server/networking hardware manufacturing
- Experience with GPU-based server or accelerator platform manufacturing
- Experience with PLC programming, industrial controls, and automated test equipment (ATE) in a production environment; ability to troubleshoot PLC-controlled systems and robotic work cells
- Process tool ownership in a semiconductor or electronics manufacturing environment including ownership of process-of-record (POR), PM scheduling, recipe management, equipment qualification (IQ/OQ/PQ), uptime/OEE tracking, and excursion troubleshooting for tools such as reflow ovens, die bonders, pick-and-place, underfill dispense, or automated test equipment like AOI, AXI, machine vision etc.
- Experience with DOE (Design of Experiments), MSA (Measurement System Analysis), GR&R studies, and process capability analysis in a production setting
- Track record of driving yield improvement, cycle time reduction, DFX, PFMEA and cost optimization through automation and process engineering

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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.

USA, CA, Cupertino - 157,300.00 - 212,800.00 USD annually
USA, TX, Austin - 136,000.00 - 184,000.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually