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Software Development Engineer III, Annapurna Labs

Amazon.com Inc

  • Seattle, WA
  • 6 days ago

    Highlights

    More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and Jax, and converts them into code suitable for execution. The Neuron Compiler Engineering team is searching for a Senior Software Development Engineer to support the development infrastructure of a compiler to enable the world"s largest ML workloads to run efficiently in the cloud.

    Numbers & Facts

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

    Description

    Annapurna Labs builds custom Machine Learning accelerators that are at the forefront of Amazon innovation and one of several Amazon tools used for building Generative AI on AWS. The Neuron Compiler Engineering team is searching for a Senior Software Development Engineer to support the development infrastructure of a compiler to enable the world"s largest ML workloads to run efficiently in the cloud.

    Amazon Annapurna Labs organization is responsible for silicon development at AWS. Organization covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and Jax, and converts them into code suitable for execution.

    As a Senior SDE, you will be responsible for identifying and designing solutions that enable efficient and reliable build, test, and release mechanisms for the Neuron compiler. You will design and implement a solution for distributed execution of the Neuron compiler that will help to run customer workloads more efficiently. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams, bringing new products/features to market, and many other exciting projects.

    Key job responsibilities

    Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for innovation, data, search, analytics, and distributed systems. You'll also:

    • Solve challenging technical problems, often ones not solved before, at every layer of the stack.
    • Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
    • Build high-quality, highly available, always-on products.
    • Research implementations that deliver the best possible experiences for customers.

    A day in the life

    As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also:

    • Build high-impact solutions to deliver to our large customer base.
    • Participate in design discussions, code review, and communicate with internal and external stakeholders.
    • Work cross-functionally to help drive business decisions with your technical input. You will collaborate closely with a cross-functional team comprised of compiler, hardware, and ML engineers.
    • Work in a startup-like development environment, where you're always working on the most important stuff.

    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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