Amazon.com Inc logo

Sr Mfg NPI Product Engineer, AI/ML Server Development - Manufacturing team

Amazon.com Inc

  • Cupertino, CA
  • 11 days ago

    Highlights

    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. You will serve as the primary manufacturing engineering interface between hardware design teams, supply chain, and contract manufacturers (ODMs/CMs), ensuring our products are optimized for manufacturability and launched with exceptional quality.

    Numbers & Facts

    LocationCupertino, CA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    Application deadline: Jul 22, 2026

    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 an NPI Manufacturing Product Engineer to join our GPU Accelerator Hardware team. In this role, you will drive manufacturing and quality initiatives for GPU-based server platforms - 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 contract manufacturers (ODMs/CMs), 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.

    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
    • Develop First Build Readiness Plans encompassing BOM availability, assembly strategy, test code readiness, and build instructions
    • 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
    • Develop Technical Manufacturing Information (TMI) packages for CM enablement including BOM requirements, assembly workflows, testing protocols, and tooling specifications
    • Execute Test Rack Inspections and OK2Ship checklists; issue quality alerts, deviations, and ship-holds as required
    • 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.

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

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