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EMIR Engineer, Annapurna Labs - Cloud Scale Machine Learning

Amazon.com Inc

  • Cupertino, CA
  • 30+ days ago

    Highlights

    In this role, you'll be working directly with architects, designers, verification engineers, power integrity engineers and physical design experts - defining best practices in power grid design, developing test cases & vectors to model demand currents accurately, modeling & signing-off EMIR taking into account board and package impact, advancing the state-of-the-art in EMIR analysis and modeling. We encourage collaboration and teamwork with multiple teams and engineers including architects, RTL designers, Verification engineers,, Physical Design engineers, Emulation engineers and software engineers.

    Numbers & Facts

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

    Description

    Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are used to power today's AI workloads in datacenters all around the world. As a Sr. SoC EMIR Engineer, you'll contribute to the EMIR sign-off of our SoCs and help maintain a high bar on quality.

    We're searching for an experienced EMIR engineer with a proven track record of handling challenges at scale. In this role, you'll be working directly with architects, designers, verification engineers, power integrity engineers and physical design experts - defining best practices in power grid design, developing test cases & vectors to model demand currents accurately, modeling & signing-off EMIR taking into account board and package impact, advancing the state-of-the-art in EMIR analysis and modeling.

    Key job responsibilities

    • Design & analyze power grids
    • Setup flows for EMIR analysis
    • Run EMIR analysis for large subsystems, SoCs
    • Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis
    • Develop and maintain dashboards for EMIR rollups
    • Work with designers, architects, Verification engineers and Physical Design engineers to develop vectors for IR analysis, Thermal analysis and power estimation

    A day in the life

    Depending on the state of the project, you may find yourself working on the following:

    • Design and evaluate power grids
    • Working with designers, architects and verification engineers to come up with worst-case vectors for power and IR analysis
    • Root cause causes of low annotation or low switching coverage with vectors
    • Develop & maintain dashboards to track EMIR status
    • Root cause causes of IR drop and suggest solutions to fix
    • Combine IR analysis of SoC with IR at board and package level (concurrent IR analysis)
    • Do post-silicon power measurements and correlate with simulation.
    • Innovate on ways to model VR, board and package impact on voltage drop more accurately.
    • Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis

    About the team

    We are a start-up like team where no-one says "this is not my job" and you won"t find anyone telling you to stay in your lane. This is a fast-paced, intellectually challenging position, and you'll work with thought-leaders in multiple technology areas. We encourage collaboration and teamwork with multiple teams and engineers including architects, RTL designers, Verification engineers, , Physical Design engineers, Emulation engineers and software engineers.

    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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