PNT Estimation and Algorithms Engineer, Flight Dynamics Research

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

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

Basic Qualifications

• - Experience investigating the feasibility of applying scientific principles and concepts to business problems and products - Experience in complex problem solving, and working in a tight schedule environment - Master's degree in Electrical Engineering, Aerospace Engineering, or a related field, and 4+ years of research experience in academia, industry, or government - Experience analyzing both experimental and observational data sets - Experience with data analysis tools such as Matlab or Python - Proven experience developing and tuning estimation algorithms (Kalman filtering, batch least-squares, or factor graph optimization) for navigation or metrology applications - Experience with orbit determination, sensor fusion, or state estimation for dynamic systems

Preferred Qualifications