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Embedded Software Development Engineer II (C/C++), AWS EC2 VPC NX

Amazon.com Inc

  • Seattle, WA
  • 30+ days ago

    Highlights

    The Amazon Elastic Compute Cloud (EC2) VPC Packet Pipeline team owns the packet pipeline that runs right beneath all our customer"s EC2 VPC instances, adding features like firewalling (security groups), billing and monitoring as we touch every single packet on every single host across our massive worldwide fleet. We are seeking an Embedded Software Development Engineer II (C/C++) to join our EC2 Nitro Fairness team, where you"ll help ensure equitable resource allocation in our multi-tenant cloud infrastructure while maintaining the single-tenant experience customers expect.

    Numbers & Facts

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

    Description

    Do you want to shape the future of virtualized (SDN) networking in the world's biggest public cloud?

    The Amazon Elastic Compute Cloud (EC2) VPC Packet Pipeline team owns the packet pipeline that runs right beneath all our customer"s EC2 VPC instances, adding features like firewalling (security groups), billing and monitoring as we touch every single packet on every single host across our massive worldwide fleet. Our vision is to combine the performance of bare metal networking while maintaining all the benefits of the cloud, including delivering features not possible on bare metal i.e. true Software Defined Networking (SDN).

    We are seeking an Embedded Software Development Engineer II (C/C++) to join our EC2 Nitro Fairness team, where you"ll help ensure equitable resource allocation in our multi-tenant cloud infrastructure while maintaining the single-tenant experience customers expect. In this role, you"ll develop sophisticated algorithms and systems that intelligently manage shared compute, memory,

    and network resources across diverse customer workloads. You"ll design and implement sophisticated fairness algorithms, real-time resource schedulers, and performance isolation systems that operate at microsecond latencies across millions of concurrent EC2 instances within the Nitro hypervisor. This position requires deep understanding of virtualization technologies, distributed systems, and performance optimization, as you"ll be directly impacting how millions of EC2 instances share underlying hardware while appearing completely isolated to end users. You"ll collaborate closely with hardware teams, hypervisor engineers, and service owners to implement fairness policies that balance resource utilization efficiency with strict performance guarantees.

    Key job responsibilities

    Technical Leadership & Development:

    • Lead architecture decisions for fairness algorithms and resource allocation systems within the Nitro hypervisor
    • Mentor junior engineers on low-level C/Rust programming and embedded system development practices
    • Conduct design and code reviews for performance-critical fairness mechanisms
    • Drive implementation of resource isolation and scheduling policies in embedded Nitro environments

    Performance Analysis & Optimization:

    • Analyze customer workload patterns to identify fairness violations and noisy neighbor scenarios
    • Design and implement hardware-aware fairness algorithms leveraging CPU cache locality, memory bandwidth, and network resources
    • Collaborate with hardware engineering teams to optimize packet-pipeline software and hardware offloads for equitable resource sharing
    • Set and achieve fairness performance goals for new instance types and Nitro hardware generations

    Cross-Team Collaboration & Strategy:

    • Partner with hardware/firmware teams on co-designing fairness enforcements
    • Collaborate with other engineering vertical teams to ensure fairness features integrate seamlessly across the stack
    • Communicate fairness requirements and technical designs to senior management and product teams
    • Evaluate emerging technologies for ML-based instance types and their impact on resource fairness

    System Design & Implementation:

    • Develop real-time fairness monitoring and enforcement systems operating at microsecond latencies
    • Implement dynamic resource allocation policies that adapt to changing workload characteristics
    • Design telemetry and observability systems to measure and validate fairness across multi-tenant environments

    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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