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PNT Estimation and Algorithms Engineer, Flight Dynamics Research

Amazon.com Inc
  • Redmond, WA
    30+ days ago

    Job Description

    As a member of a growing PNT team within Amazon Leo, the PNT Estimation and Algorithms Engineer is responsible for designing, implementing, optimizing and monitoring high-precision estimation architectures across terrestrial and space-based networks. You will develop and validate orbit determination, filtering, and sensor fusion algorithms to achieve high precision positioning and timing accuracy using RF and optical inter-satellite link measurements.

    Export Control Requirement

    Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

    Key job responsibilities

    Design, implement, and validate orbit determination (OD) and clock estimation algorithms, including Extended Kalman Filters (EKF), Barch Least Square, Square-Root/Sigma-Point Kalman Filters (SKF), and Factor Graph Optimization (FGO) approaches

    Develop inter-satellite link (ISL) navigation and time-transfer measurement models, including range and range-rate

    Evaluate and integrate emerging estimation techniques (batch/sequential estimation, robust filtering, multi-sensor fusion) to improve positioning and timing accuracy

    Design and build simulation and analysis frameworks (e.g., Monte Carlo CONOPS studies) to characterize filter performance, covariance realism, and convergence behavior

    Collaborate with cross-functional teams to ensure estimator outputs meet mission-level accuracy requirements

    Conduct performance analysis and troubleshooting of estimation algorithms across distributed constellation and ground infrastructure

    Numbers & Facts

    LocationRedmond, 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.

    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

    Skills

    • Algorithmsunmatched
    • Analysis Skillsunmatched
    • Concept of Operations (CONOPS)unmatched
    • Cross-Functionalunmatched
    • Identify Issuesunmatched
    • Kalman Filterunmatched
    • Performance Analysisunmatched
    • Precision Positioningunmatched
    • Regulationsunmatched
    • Simulationunmatched
    • United States Citizenunmatched

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