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Software Development Engineer - CV Test Infrastructure, Annapurna ML, CV Test Infrastructure

Amazon.com Inc

  • Austin, TX
  • 10 days ago
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    Skills

    • Amazon Elastic Compute Cloud (EC2)unmatched
    • Amazon Simple Storage Service (S3)unmatched
    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Automationunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Develop Test Toolsunmatched
    • Emulatorsunmatched
    • Failure Analysisunmatched
    • Hardware Quality Assuranceunmatched
    • Hardware Virtualizationunmatched
    • Machine Toolunmatched
    • Multiplatform/Cross-Platformunmatched
    • Prototypingunmatched
    • Release Management/Engineeringunmatched
    • Reporting Dashboardsunmatched
    • Resource Utilizationunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • System Testunmatched
    • Test Automationunmatched
    • Testingunmatched
    • Validation Testingunmatched

    Description

    We are looking for a Software Development Engineer to join the CV Test Infrastructure team within Amazon"s Annapurna ML organization. You will build and maintain the automated validation infrastructure (Origami platform) that supports chip verification and validation across multiple engineering teams and hardware platforms - including emulators (ZeBu), virtual platforms (QEMU), and silicon prototypes. In addition, you will design and implement diagnostic tools that enable engineers to quickly identify, analyze, and resolve validation failures across complex hardware/software environments.

    Key job responsibilities

    Design and develop diagnostic tools for analyzing test failures, hardware issues, and regression results across emulation, virtual platform, and silicon environments

    Build and maintain automation frameworks for test execution across multiple platforms

    Develop and enhance CI/CD pipelines for nightly regression and on-demand test execution

    Develop and improve the Origami platform - a web-based system for test management, resource monitoring, and validation reporting

    Automate emulator model build and release processes

    Build dashboards and tooling for real-time visibility into regression results, resource utilization, and failure analysis

    Manage and improve SLURM-based job scheduling infrastructure for shared compute resources

    Collaborate with multiple verification and design teams to understand their diagnostic and automation needs

    Maintain and extend AWS-based infrastructure (EC2, DynamoDB, S3) supporting the validation platform

    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

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