AWS operates the world's largest fleet of general compute servers at cloud scale. Our team takes these platforms from design into high-volume production, owning the manufacturing processes, test strategies, and quality systems that determine whether a new server ships on time and at the right quality. If you want to own how the hardware that frontier models train on actually gets built, this is the role.
We are seeking a Sr Manufacturing Product Engineer to drive New Product Introduction (NPI) manufacturing and quality for volume compute server platforms, from early design engagement through volume production. You will define manufacturing processes, test flows, and quality controls, serve as the primary manufacturing engineering interface between hardware design, supply chain, and ODM partners, and ensure products are optimized for manufacturability and launched at exceptional quality.
What You Will Do
You will own how a new compute platform is manufactured. You will engage with hardware design early to influence testability and manufacturability, define the manufacturing test strategy and quality plan, and drive the process from prototype through Pilot and volume ramp. You will run NUDD (New, Unique, Difficult, Different) risk assessments before design freeze, lead design reviews, and drive root cause corrective action on manufacturing blockers and quality escapes. When a platform ramps to volume with high first-pass yield and no quality escapes reaching the fleet, that is your impact.
Why You Will Love It
Millions of organizations run diverse workloads on the AWS compute hardware you help build. You will see your process and test decisions scale across a large fleet of servers, and you will work at the point where design meets the factory floor. The team is deeply technical and high-trust, and you own manufacturing outcomes end to end from design engagement through volume production.
The Ideal Candidate
You think across the full manufacturing stack, from SMT assembly and test coverage to line balance, yield, and quality systems. You are as comfortable in a DFx review reading gerber files as you are on an ODM floor debugging a failing test station. You drive decisions with data, hold manufacturing partners to a high bar, and bring structured problem-solving and disciplined change management to a fast-moving NPI environment. You mentor junior engineers, contribute to hiring, and raise the manufacturing engineering bar for the team.
Key job responsibilities Design for Manufacturability & Risk
- Perform NUDD (New, Unique, Difficult, Different) risk assessments and carry-over analysis to identify and mitigate manufacturing risks before design freeze
- Participate in DFx reviews (DFM/DFA/DFT) leveraging mechanical CAD models, gerber files, and mock-up samples, driving design improvements in partnership with hardware engineering
- Lead DFMEA/PFMEA reviews and develop process flow diagrams and quality control plans
NPI Manufacturing & Test Strategy
- Own end-to-end NPI manufacturing execution for volume compute platforms across engineering phases and Pilot builds
- Define the manufacturing test strategy including test flows, coverage, duration, fixture requirements such as in circuit tests (ICT), board functional test (BFT) and system-level tests.
- Own Contract Manufacturer enablement including BOM requirements, assembly workflows, testing protocols, and tooling specifications
- Research automation techniques and develop new tests and systems to improve manufacturing efficiency and reduce test dwell time
Quality & Continuous Improvement
- Drive Root Cause Corrective Action (RCCA) for manufacturing blockers and quality escapes
- Execute test rack inspections and quality checklists; issue quality alerts, deviations, and ship-holds as required
- Own manufacturing quality metrics and drive yield improvement, and cost optimization through process and automation engineering
Capacity & Production Ramp
- Create manufacturing capacity plans with simulations across build phases; conduct line balance and cycle time analysis to maximize throughput
- Provide on-site ODM support during critical builds and production ramp
- Collaborate with suppliers and internal teams on system integration, thermal validation, and manufacturing requirements
Cross-Team Collaboration
- Serve as the primary manufacturing engineering interface between hardware design, supply chain, and ODM/CM partners
- Manage manufacturing requirements, scope, schedules, and deliverables across engineering teams, suppliers, and partners
- Perform risk assessment, mitigation, and change management throughout the program lifecycle
Domestic and international travel (~25%) to ODM/CM and design partner sites.
A day in the life You start the day reviewing first-pass yield data from an overnight Pilot build at your ODM, isolating a test station driving a recurring failure. Mid-morning, you lead a DFx review with hardware design, pushing changes to improve testability before design freeze. In the afternoon, you drive an RCCA on a solder defect with the CM quality team and update the control plan. You end the day refining the capacity plan and line balance for the next build phase.
About the team The Hardware Engineering Mainstream Compute platform team is a group of engineers and technical program managers directly responsible for launching high volume computer servers into the AWS fleet. Located in Seattle, Austin, and Cupertino, we collaborate with global development teams and ODM/CM partners to deliver next-generation server infrastructure deployed in datacenters worldwide. We move fast with small, empowered teams delivering end-to-end, from server conception through volume production and fleet-scale operations. Basic qualifications
- - Bachelor's degree in Mechanical, Industrial, Manufacturing Engineering or similar related field or equivalent experience.
- - 5+ years of high volume manufacturing experience in server, automotive, or aerospace industries, spanning NPI, process development or production engineering.
- - 3+ years of end-to-end NPI product delivery experience from concept through volume production
- - 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 Preferred qualifications
- Experience managing and coordinating multiple projects simultaneously
- Master's degree in Mechanical, Industrial, Manufacturing Engineering, or a related field
- Experience working with interdisciplinary teams to execute product design in manufacturing from concept to volume production.
- Knowledge of Six Sigma, Lean Manufacturing, SPC, FMEA, PFMEA, or Root Cause Analysis.
- Experience conducting DFM/DFX reviews and risk assessments for complex hardware systems.
- Experience evaluating and qualifying new design partners or manufacturing locations.
- Experience with NUDD analysis and manufacturing risk assessment methodologies.
- Experience assessing and qualifying new manufacturing technologies for volume production readiness.
- 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 shift-left manufacturing initiatives that reduced NPI cycle time or improved first-pass yield.
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 - 183,000.00 - 247,600.00 USD annually USA, TX, Austin - 159,200.00 - 215,300.00 USD annually USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually
