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Sr Embedded Software Engineer, Annapurna ML Software

Amazon.com Inc
  • Austin, TX
    11 days ago

    Job Description

    Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago- even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

    In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Annapurna MLA Software team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and develop the software and firmware to drive, support and sustain these technologies as they evolve though concept and manufacturing, and finally take their place in our rapidly expanding fleet of bleeding edge Machine Learning products our customers demand.

    Key job responsibilities

    • Define technical strategy and lead architecture for Annapurna Labs" machine learning platform, driving decisions that impact multiple product lines
    • Collaborate with EC2 teams and manufacturing partners to ensure seamless system integration
    • Own end-to-end qualification frameworks and processes, mentoring engineers on implementation best practices
    • Drive end-to-end qualification processes for new software implementations
    • Craft high-performance solutions using C/C++ running on Linux

    A day in the life

    You"ll architect and develop the software and firmware that drives NeuronSwitches- the high-performance interconnect fabric for Trainium chips. Day-to-day, you"ll work closely with EC2, Annapurna Labs teams and manufacturing teams to bring up new hardware, debug board-level issues and optimize data paths. You"ll write device drivers, build ML infrastructure, implement switch fabric control logic and develop the tooling needed for testing, qualification, and production deployment.

    This is hands-on systems work- from initial hardware bring-up through manufacturing scale-up.

    About the team

    The Annapurna ML Software team builds the software and firmware that powers NeuronSwitches- AWS" next-generation switching infrastructure forming the high-performance interconnect fabric for Trainium 3

    chips. We focus on mission-mode control of sensors, board-level hardware, and the critical data paths that enable chip-to-chip communication at scale. Our work spans device drivers, switched fabric and everything in between- from debug and testing through qualification and manufacturing.

    We work at the hardware-software boundary where silicon meets systems. While ML engineers optimize models and algorithms, we ensure the underlying infrastructure can move data at the

    speeds those workloads demand. If you"re excited about low-level systems programming, hardware bring-up, and building the foundation that makes next generation AI possible, this is the team

    for you.

    Numbers & Facts

    LocationAustin, TX
    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

    • Algorithmsunmatched
    • Amazon Elastic Compute Cloud (EC2)unmatched
    • Amazon Web Services (AWS)unmatched
    • Best Practicesunmatched
    • C Programming Languageunmatched
    • C++ Programming Languageunmatched
    • Cloud Computingunmatched
    • Computer Firmwareunmatched
    • Customer Support/Serviceunmatched
    • Debugging Skillsunmatched
    • Develop Test Toolsunmatched
    • Device Driversunmatched
    • Divingunmatched
    • Embedded Softwareunmatched
    • Hardware Debuggingunmatched
    • Linux Operating Systemunmatched
    • Machine Learningunmatched
    • Manufacturingunmatched
    • Mentoringunmatched
    • Printed Circuit Board (PCB)unmatched
    • Software Designunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Switched Fabricunmatched
    • System Integration (SI)unmatched
    • Technical Strategyunmatched
    • Vehicle Fleetsunmatched

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