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CPLD/FPGA Firmware Engineer, Annapurna Labs, ML Accelerator Systems Firmware

Amazon.com Inc

  • Austin, TX
  • 7 days ago

    Highlights

    We are seeking an experienced CPLD/FPGA Firmware Engineer to join our ML Acceleration Server Firmware team, which is responsible for developing firmware to enable power sequencing and developing control systems for ML Acceleration servers in the data center. Although we use machine learning workloads to validate systems software, this team is focused on codeveloping reliable server software and hardware for customers to deploy their ML workloads at scale.

    Numbers & Facts

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

    Description

    Annapurna Labs is at the forefront of hardware/software co-design, not just in Amazon Web Services (AWS) but across the industry. We design and build every component of our hardware and software to create products that our customers use for accelerated computing. If you"re interested in the work required to build the highest-performing Machine Learning servers, from inception to delighted customers, Annapurna is a fantastic choice.

    We are seeking an experienced CPLD/FPGA Firmware Engineer to join our ML Acceleration Server Firmware team, which is responsible for developing firmware to enable power sequencing and developing control systems for ML Acceleration servers in the data center. The team focuses on deploying firmware to diverse environments, including pre-silicon emulation, hardware manufacturing, automated testing, and production systems used by customers.

    Technologies useful to this role include computer architecture, hardware description languages (HDLs), and embedded systems. Our team uses Verilog, C, C++, Lua, bash, Python and other similar languages. Although we use machine learning workloads to validate systems software, this team is focused on codeveloping reliable server software and hardware for customers to deploy their ML workloads at scale.

    Key job responsibilities

    • Develop CPLD and FPGA programs that implement power sequencing and manage various protocols, including PWM, I2C, and SPI
    • Develop systems software and drivers
    • Define test and automation flows to validate firmware
    • Evaluate and optimize firmware performance
    • Build error detection and recovery mitigation systems at AWS scale

    A day in the life

    You will have the opportunity to develop server firmware in a highly cross-functional environment, working side by side with software and hardware teams to optimize customer experience. You will be responsible for building scalable designs that can be tested throughout the stages of product development including manufacturing and production. You will leverage automation, continuous integration, and fleet metrics to deploy and monitor your changes.

    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.

    Inclusive Team Culture

    Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

    Work/Life Balance

    We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

    Mentorship & Career Growth

    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.

    This is a hardware team, we focus on system programming related to accelerators and other devices. We are not implementing Machine Learning, we think more about device drivers than training algorithms.

    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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