Amazon Web Services (AWS) Hardware Engineering designs and delivers next-generation cloud infrastructure. Our team builds custom accelerator platforms that form the backbone of AWS - powering AI, machine learning, and compute workloads at global scale.
We are seeking a Senior Manufacturing NPI Product Engineer to join our High Memory Vertical team. In this role, you will drive manufacturing development and quality initiatives for High Memory server platforms across 2 New Product Introductions (NPI) with Taiwan-based Original Design Manufacturers (ODMs) - from early design engagement through volume production. You will partner with a broad set of stakeholders including design engineering, operations, software development, TPMs, and external vendors to ensure products are developed and delivered on time to the highest quality standards. You will define and implement NPI manufacturing processes, test flows, quality systems, and controls while establishing clear milestones and deliverables. This role demands hands-on manufacturing analysis across design, development, testing, prototype, and production phases, along with a drive to research automation techniques and develop new test systems that improve efficiency.
You will serve as the primary manufacturing engineering interface between hardware design teams, supply chain, and Taiwan-based ODMs, ensuring our products are optimized for manufacturability and launched with exceptional quality. Success in this role requires strong cross-functional communication, structured problem-solving to resolve complex issues, and disciplined risk assessment and change management throughout the product lifecycle. This position directly supports the EC2 target by establishing critical manufacturing engineering presence for the High Memory Vertical following the May 2026 manufacturing reorganization.
Domestic and international travel (~25%)
Key job responsibilities
- Own end-to-end NPI manufacturing execution for GPU accelerator platforms across engineering phases and Pilot builds
- Perform NUDD (New, Unique, Difficult, Different) risk assessments and carry-over analysis to identify and mitigate manufacturing blockers/risks before design freeze
- Define Manufacturing Test Strategy including test flows, coverage, duration, fixture requirements (ICT, BFT, System-level Tests), and buy-off criteria
- Create manufacturing capacity plans with simulations across build phases; conduct line balance and cycle time analysis to maximize throughput
- Lead DFMEA/PFMEA reviews; develop process flow diagrams and quality control plans
- Participates in DFx reviews (DFM/DFA/DFT) leveraging mechanical CAD models, gerber files, and mock-up samples; drive design improvements in partnership with hardware engineering teams
- Drive Root Cause Corrective Action (RCCA) for manufacturing blockers and quality escapes
- Manage manufacturing requirements, scope, schedules, and deliverables across engineering teams, suppliers, and partners
- Perform risk assessment, mitigation, and change management throughout the program lifecycle
- Research automation techniques and develop new tests and systems to improve manufacturing efficiency
- Provide on-site ODM support during critical builds and production ramp
- Collaborate with suppliers and internal teams on GPU module integration, thermal validation, and manufacturing requirements
About the team Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Amazon Web Services (AWS) values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic qualifications
- Bachelor's degree in Manufacturing Engineering, Chemical Engineering, Mechanical Engineering, Industrial Engineering, Electrical Engineering, Automation/Robotics Engineering, Mechatronics, or related technical discipline
- 7+ years of manufacturing engineering experience in NPI, process development, or production engineering within the semiconductor, server/data-center hardware, electronics, or high-tech manufacturing industry
- 3+ years of Demonstrated experience owning NPI manufacturing execution from prototype through volume production, including pilot builds (EVT/DVT/PVT) and production ramp
- Hands-on experience with SMT assembly processes/PCB fabrication or Industrial automation or robotics
- Strong data analysis skills with ability to use statistical tools (JMP, Minitab, Excel, Python) to drive data-driven decisions 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 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 - 183,000.00 - 247,600.00 USD annually
