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Sr Manufacturing NPI Product Engineer, AWS Mainstream Compute

Amazon.com Inc
  • Cupertino, CA
    1 day ago

    Job Description

    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.

    Numbers & Facts

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

    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

    Skills

    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Automationunmatched
    • Automation Engineeringunmatched
    • CAD/CAM (Computer-Aided Design/Computer-Aided Manufacturing)unmatched
    • Capacity Managementunmatched
    • Change Managementunmatched
    • Cloud Computingunmatched
    • Computer Engineeringunmatched
    • Computer Hardwareunmatched
    • Computer Serversunmatched
    • Computer Systemsunmatched
    • Continuous Improvementunmatched
    • Contract Manufacturingunmatched
    • Corrective Actionunmatched
    • Cost Controlunmatched
    • DFT (Design for Test)unmatched
    • Debugging Skillsunmatched
    • Design Failure Mode and Effects Analysis (DFMEA)unmatched
    • Develop Methodologiesunmatched
    • Functional Testingunmatched
    • Hardware Designunmatched
    • In-Circuit Testingunmatched
    • Manufacturingunmatched
    • Manufacturing Bill of Materials (mBOM)unmatched
    • Manufacturing Designunmatched
    • Manufacturing Engineeringunmatched
    • Manufacturing Managementunmatched
    • Manufacturing Requirementsunmatched
    • Manufacturing Systemsunmatched
    • Manufacturing/Industrial Processesunmatched
    • Manufacturing/Production Testingunmatched
    • Mentoringunmatched
    • Mock Upunmatched
    • Network Operations Centerunmatched
    • On Site Supportunmatched
    • Original Design Manufacturer (ODM)unmatched
    • Problem Solving Skillsunmatched
    • Process Developmentunmatched
    • Process Engineeringunmatched
    • Process Failure Mode and Effects Analysis (PFMEA)unmatched
    • Process Flowunmatched
    • Process Flow Diagram (PFD)unmatched
    • Process Improvementunmatched
    • Product Engineeringunmatched
    • Product/Service Launchunmatched
    • Production Volumeunmatched
    • Productivity Managementunmatched
    • Project/Program Managementunmatched
    • Prototypingunmatched
    • Quality Controlunmatched
    • Quality Metricsunmatched
    • Requirements Managementunmatched
    • Requirements Validation/Verificationunmatched
    • Riskunmatched
    • Risk Analysisunmatched
    • Risk Managementunmatched
    • Software Development Lifecycle (SDLC)unmatched
    • Solderingunmatched
    • Strategic Planningunmatched
    • Supply Chainunmatched
    • Surface Mount Technologyunmatched
    • System Integration (SI)unmatched
    • System Testunmatched
    • Technical Leadershipunmatched
    • Test Plan/Scheduleunmatched
    • Test Strategyunmatched
    • Test Toolsunmatched
    • Testabilityunmatched
    • Testingunmatched
    • Time Managementunmatched
    • Vehicle Fleetsunmatched
    • Willing to Travelunmatched

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