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Sr. Process Engineer, One MHS , Amazon Manufacturing Services

Amazon.com Inc
  • Seattle, WA
    3 days ago

    Job Description

    Amazon Manufacturing Services (AMS) is seeking an experienced Sr. Process Engineer to join our advanced manufacturing team. This role will drive manufacturing excellence through the application of AI/ML technologies, simulation and digital twin development, and advanced process optimization across existing production facilities and new projects.

    The ideal candidate will leverage reinforcement learning, simulation-based optimization, and data-driven process improvement to maximize throughput, reduce cycle times, and optimize manufacturing operations. This role serves as a critical bridge between manufacturing operations, product engineering, and emerging AI/ML technologies.

    Key job responsibilities

    1. Lead data-driven throughput improvement initiatives across current production lines

    2. Conduct bottleneck analysis using simulation and real-world data to identify constraints

    3. Execute cycle time reduction projects through AI-optimized process parameters

    4. Develop and implement setup optimization strategies to maximize output against existing equipment and labor constraints

    5. Apply statistical process control and continuous improvement methodologies enhanced by ML insights

    6. Design and optimize automated manufacturing processes including robotic pick-and-place, material handling, and assembly operations

    7. Develop control strategies for multi-robot coordination and collaborative automation

    8. Implement vision systems, sensors, and data collection infrastructure for AI/ML model training

    9. Bridge simulation-to-reality gap by validating digital twin predictions against production performance

    10. Build predictive models for throughput optimization, bottleneck identification, and capacity planning

    11. Train AI agents to learn optimal manufacturing strategies through simulation before deployment to production

    12. Work closely with operations team in NPI and optimization of manufacturing processes, cycle times and improvement of safety.

    About the team

    Manufacturing Systems Engineering owns the design, build, and continuous improvement of Amazon"s advanced manufacturing facilities. We are the engineering team responsible for transforming manufacturing concepts into operational reality, from facility layout and workstation design to process optimization and equipment integration. Our scope spans new facility launches and ongoing expansion and improvement of existing manufacturing operations, supporting advanced manufacturing and assembly of light industrial equipment. The team is in a high-growth phase, with significant opportunity to shape manufacturing design standards and scalable solutions that will define how Amazon builds and operates its manufacturing capabilities.

    Numbers & Facts

    LocationSeattle, WA
    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

    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Automationunmatched
    • Bridge Buildingunmatched
    • Capacity Managementunmatched
    • Computer Workstationsunmatched
    • Continuous Improvementunmatched
    • Data Collectionunmatched
    • Manufacturingunmatched
    • Manufacturing Assemblyunmatched
    • Manufacturing Designunmatched
    • Manufacturing Operationsunmatched
    • Manufacturing Systemsunmatched
    • Manufacturing/Industrial Processesunmatched
    • Operational Supportunmatched
    • Predictive Modelingunmatched
    • Process Engineeringunmatched
    • Process Improvementunmatched
    • Product Engineeringunmatched
    • Product/Service Launchunmatched
    • Productivity Managementunmatched
    • Reinforcement Learningunmatched
    • Simulationunmatched
    • Statistical Process Controlunmatched
    • Strategic Planningunmatched
    • Systems Engineeringunmatched
    • Team Playerunmatched
    • Time Managementunmatched

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