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Software Development Manager, Geospatial

Amazon.com Inc
  • Bellevue, WA
    26 days ago

    Job Description

    Build the routing engine behind every Amazon delivery. Planet-scale pathfinding that runs a trillion route calculations a day at microsecond latency, shaping how millions of packages reach customers safely and on time, every day.

    We"re seeking a Software Development Manager to lead the Transit Intelligence team in Bellevue. The team owns the road network and routing foundation for Amazon Last Mile: road network construction and vending, pathfinding and transit time estimation. These systems compute how long it takes to get from A to B and what the safest path is, at two extremes of scale at once. Navigation needs answers in milliseconds in real time; route planning needs the full origin-by-destination product, adding up to over 1.2 trillion pathfinding calculations across the fleet each day.

    The SDM will lead a team of software engineers building the algorithms and infrastructure behind this scale: effective precomputation, succinct graph representations and the caching, sharding, and vending strategies that turn a continent-scale road graph into microsecond lookups. SDM will be responsible for logic in service that fuses real-time traffic with historical movement profiles and returns time, distance, and a path risk signal, so the routes it produces optimize for safety alongside speed. The role requires someone who can hold both the low-latency navigation workload and the high-throughput planning workload in view at once.

    Key responsibilities include:

    • Leading a team of software engineers who own road network construction and vending, pathfinding, and transit time estimation for Amazon Last Mile.
    • Partnering with Planning systems teams who solve the Traveling Salesman Problem at very high throughput, and owning the API contracts and accuracy bar those solvers depend on.
    • Working with Safety teams on routing and path-risk accuracy.
    • Partnering with Science teams on the models behind time estimation and integrating those models into production routing.
    • Owning transit time estimation quality end to end, including planned-versus-actual analysis and the underestimation and overestimation that drive downstream planning and customer promise.
    • Managing technical roadmaps that balance new capability against the operational excellence a Tier-1 service demands.
    • Developing engineering talent and building a deep, resilient team with clear technical ownership.
    • Writing narratives and influencing VP-level technical decisions.

    The technical environment includes large-scale distributed systems, graph algorithms and pre-computation pipelines, real-time data ingestion, AWS, and ML model integration. Scale includes continent-scale road networks, Tier-1 availability and latency SLAs.

    Amazon"s Geospatial teams operate with a safety-first culture. The role requires someone who can operate a high-throughput, low-latency service at scale and is comfortable navigating ambiguity and dense cross-team dependencies. This role reports to a Senior Software Development Manager within the Geospatial organization.

    Key job responsibilities

    Key responsibilities include:

    • Leading a team of software engineers who own road network construction and vending, pathfinding, and transit time estimation for Amazon Last Mile.
    • Driving technical strategy for precomputation, graph representation, and the caching, sharding, and vending architecture behind both the low-latency navigation workload and the high-throughput planning workload.
    • Partnering with Planning systems teams who solve the Traveling Salesman Problem at very high throughput, and owning the API contracts and accuracy bar those solvers depend on.
    • Working with Safety teams on routing and path-risk accuracy.
    • Partnering with Science teams on the models behind time estimation and integrating those models into production routing.
    • Owning transit time estimation quality end to end, including planned-versus-actual analysis and the underestimation and overestimation that drive downstream planning and customer promise.
    • Managing technical roadmaps that balance new capability against the operational excellence a Tier-1 service demands.
    • Developing engineering talent and building a deep, resilient team with clear technical ownership.
    • Writing narratives and influencing VP-level technical decisions.

    About the team

    The Transit Intelligence team owns the road network and routing foundation for Amazon, spanning across Last Mile, Middle Mile and beyond. We compute how long it takes to get from A to B and what the safest path is, through road network construction and vending, pathfinding, and transit time estimation, running over a trillion route calculations a day. Our accuracy directly impacts planning, customer promise, and transporter safety.

    Numbers & Facts

    LocationBellevue, WA
    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.

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    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

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