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Software Development Manager, EC2 UltraServer Availability

Amazon.com Inc

  • Seattle, WA
  • 3 days ago

    Highlights

    You"ll lead a two-pizza team of 8-12 engineers automating end-to-end repair of entire UltraServers: detection, control-plane teardown, chassis swap orchestration with hardware engineering and data center operations, fabric rebuild, burn-in testing, and return to customer. When any part of it fails, you have to diagnose across racks, orchestrate hardware swaps with data center technicians, rebuild the NVLink fabric, re-run burn-in, and hand healthy capacity back to customers training frontier AI models.

    Numbers & Facts

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

    Description

    A NVIDIA UltraServer isn"t a server: it"s 18 compute nodes, 72 Blackwell GPUs, and an NVLink fabric that behaves as one giant, memory-coherent computer. When any part of it fails, you have to diagnose across racks, orchestrate hardware swaps with data center technicians, rebuild the NVLink fabric, re-run burn-in, and hand healthy capacity back to customers training frontier AI models. Every hour an UltraServer sits idle is some of the most sought-after compute on Earth going to waste.

    That"s the problem our team owns, and we"re looking for a Software Development Manager to lead it.

    The EC2 UltraServer Availability team builds the automated repair and recovery systems for Amazon"s GB200 and GB300 fleet. One of the fastest-growing and most visible infrastructure domains at AWS. This is early-days territory: many repair flows that are fully automated for traditional EC2 hosts are still being invented for UltraServers. You"ll set the technical direction that turns manual, expert-driven recovery into deterministic, self-healing automation, and you"ll see your team"s impact directly in fleet availability numbers that leadership watches weekly.

    Key job responsibilities

    You"ll lead a two-pizza team of 8-12 engineers automating end-to-end repair of entire UltraServers: detection, control-plane teardown, chassis swap orchestration with hardware engineering and data center operations, fabric rebuild, burn-in testing, and return to customer.

    Your north-star metrics are fleet availability and repair dwell time: how fast a broken UltraServer gets back to serving customers.

    Examples of projects your team is working on

    1. Automating deterministic repair: building the system that maps a failure signature directly to the right repair action, removing humans from the loop for well-understood failures

    2. Orchestrating multi-team repair procedures that today require coordination across hardware engineering, data center technicians, and EC2 control-plane services

    3. Cutting repair dwell time by parallelizing teardown, physical repair, and validation steps that currently run serially

    4. Extending recovery workflows into new regions, including air-gapped (ADC) environments

    A day in the life

    You"ll spend most of your time where an SDM should: growing engineers (1:1s, career development, hiring), making roadmap and architecture calls with your senior engineers, and unblocking the team. Because we sit at the intersection of software, hardware, and data center operations, you"ll regularly partner with EC2 ML Supercomputing, hardware engineering, and DCO leadership. You"ll also drive operational reviews - this is a fleet-facing team with an on-call rotation, and reducing that operational load through automation is itself a core part of the charter. You"ll communicate progress and strategy to senior leadership through narratives and business reviews.

    About the team

    The EC2 UltraServer Availability team (part of EC2 Nitro) maintains the availability of NVIDIA-based ML infrastructure at scale. We own end-to-end recovery and repair for GB200 and GB300 UltraServers: from detecting an availability event through repair, testing, and return to service. We work closely with hardware engineering, data center operations, EC2 ML Supercomputing, and EC2 capacity teams. We value engineers who are curious about the full stack, from NVLink cabling to control-plane APIs, and we invest in reducing our own operational toil through automation.

    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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