PNT Estimation and Algorithms Engineer, Flight Dynamics Research
Core
Design, implement, and validate high-precision estimation architectures for terrestrial and space-based networks, focusing on orbit determination, filtering, and sensor fusion using RF and optical inter-satellite link measurements.
Role type
Senior IC PNT Estimation and Algorithms Engineer (Flight Dynamics)
Builds
Simulation and analysis frameworks (e.g., Monte Carlo CONOPS studies) to characterize filter performance, covariance realism, and convergence behavior
Domain
Aerospace engineering, satellite navigation, space-based networks
Deliverable
production ML models
Required skills
Extended Kalman Filters (EKF), Batch Least Square, Square-Root/Sigma-Point Kalman Filters (SKF), Factor Graph Optimization (FGO), orbit determination, clock estimation, inter-satellite link (ISL) navigation, time-transfer measurement modeling, sensor fusion, state estimation for dynamic systems, data analysis (Matlab/Python)
Preferred skills
PhD in relevant field, GNSS-based orbit determination, precise point positioning (PPP), time scale algorithms, clock modeling (Allan deviation), optical navigation, crosslink-based OD, astrodynamics libraries (Orekit, GMAT)
Technologies
Matlab, Python, Orekit, GMAT
Responsibilities
Design and build simulation and analysis frameworks to characterize filter performance; Conduct performance analysis and troubleshooting of estimation algorithms across distributed constellation and ground infrastructure; Evaluate and integrate emerging estimation techniques to improve positioning and timing accuracy
Seniority
Senior, hands-on IC