15-20 years of demonstrated practical experience in the following areas. This includes not just the academic textbook knowledge but demonstrated experience in designing, debugging, and tuning a real-world navigation system Navigation and Sensor Fusion Algorithms Strapdown Navigation Algorithms (including coning, size effects and sculling corrections) Design of loosely coupled, tightly coupled, and deeply integrated GNSS/INS solutions Integration of non-GNSS aiding sources (vision, LIDAR, radar, altimeters) Practical experience in tuning of the extended Kalman Filter and ability to design and implement from first principles Confidence bounding and integrity monitoring Inertial Sensors (accelerometers and gyros) Inertial sensor calibration techniques and algorithms to identify classical instrument errors (bias, scale factor, misalignments, g-sensitivities, noise, etc.) Algorithms for factory calibration (Nav. Cal, Table Cal, and Kalman Cal) Inertial sensor mechanization (control loops, digital processing, and compensations) Signal Processing and Data Handling GNSS signal acquisition, tracking, and demodulation and simulation (preferred not required) PNT System Level Simulation and Analysis Error Covariance Simulation Monte-Carlo Simulations Error Propagation Simulation Whole Value Simulations Sensor Modeling Inertial Sensor Error Modeling Inertial Sensor mechanization and control GNSS Signals acquisition, processing, and emulation GNSS signal acquisition, tracking, and demodulation and simulation Analyze impacts of multipath, Doppler, interference, spoofing Master's of Science degree in a STEM discipline (Science, Technology, Engineering, Math) with 15+ years of engineering experience OR PHD in a STEM discipline (Science, Technology, Engineering, Math) 10 years of relevant experience Deep understanding of Kalman Filters for navigation. Proven ability to optimize algorithms for real-time embedded processing. Experience with GPS integrity testing for DO-229 compliance. Comprehensive knowledge of GNSS, RNAV, RNP, LNAV/VNAV, and WAAS. Experience with trajectory development for navigation testing. US Citizenship is required Ability to obtain a DoD Secret clearance within a timeframe set forth by management Ability to work onsite full-time at Woodland Hills, CA Experience with Spirent simulators Experience with CAST Simulators DO-178 software development environments Matlab and Simulink development tool experience Digital Twin & Hardware-in-the-Loop (HIL) Experience in designing hardware in the loop or processor in the loop simulations (preferred) Analyze impacts of multipath, Doppler, interference, spoofing