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PNT Estimation and Algorithms Engineer, Flight Dynamics Research

Amazon.com Inc

  • Redmond, WA
  • 18 days ago

    Highlights

    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. 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.

    Numbers & Facts

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

    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

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