GNSS Navigation and Estimation Engineer

Design and implement a high-accuracy, real-time onboard orbit estimator for a VLEO spacecraft using EKF or equivalent nonlinear filtering approaches; incorporate dynamic force modeling (gravity, drag, SRP), atmospheric drag state estimation, and reprocessing of raw GNSS measurements (code and carrier phase where applicable).

Develop and maintain the dynamic process models used in both real-time filtering and short-horizon prediction, including uncertainty propagation and covariance realism analysis suitable for maneuver planning and conjunction inputs.

Design and validate short-term orbit prediction methods (propagation, smoothing, covariance growth characterization) and quantify prediction error during high-drag and geomagnetic storm conditions. Support low-thrust operations by: Modeling finite-burn dynamics within the estimator, Performing maneuver reconstruction and thrust parameter estimation, Contributing to steering law and guidance design in close coordination with GNC.

Modeling finite-burn dynamics within the estimator,

Performing maneuver reconstruction and thrust parameter estimation,

Contributing to steering law and guidance design in close coordination with GNC.

Analyze orbit–attitude–drag coupling in VLEO and incorporate those effects into estimation and prediction models.

Generate and own robust, testable C/C++ flight software for real-time orbit determination, with strong attention to numerical stability, covariance integrity, and diagnosability.

Build and maintain ground-based validation and regression infrastructure, including closed-loop simulation, measurement replay, Monte Carlo campaigns, and hardware-in-the-loop testing with GNSS receivers and antenna systems.

Provide technical support for GNSS spaceflight hardware integration, including measurement modeling, command and telemetry integration, calibration analysis, and anomaly triage.