PNT Research Engineer

*
* The Opportunity:

** Are you passionate about developing Positioning, Navigation, and Timing (PNT) solutions? Do you enjoy working where science, engineering, and mission-driven innovation meet? If you are excited about supporting cutting-edge science and engineering, and collaborating with multidisciplinary teams focused on strengthening national security and domestic capabilities, this opportunity could be a perfect match for you.

As a PNT Research Engineer, you will contribute to the development of innovative, resilient GPS-free navigation platforms. In this position, you will participate in developing comprehensive simulation tools to inform multi-sensor navigation concepts, advancing denoising and sensor-fusion algorithms tailored for selected platforms, and identifying requirements and enhancing the performance of PNT solutions in operational real-world environments. You will collaborate with theoretical and experimental physicists, engineers, aviation and maritime specialists, and cross-disciplinary experts to design advanced navigation solutions.

The successful candidate will handle signal processing, programming, and sensor characterization, focusing on adapting algorithms from offline data to real-time airborne and maritime demonstrations.
** What You’ll Work On:
*** Create a comprehensive simulation platform for magnetic anomaly navigation that incorporates algorithms for denoising, data fusion, and error compensation.
* Apply signal processing and filtering methodologies to advance the detection, characterization, and suppression of magnetic interference within a hybrid, multi-sensor framework.
* Develop automated routines for heading-error suppression utilizing machine learning and deep learning approaches.
* Assist in designing multi-sensor fusion algorithms through Kalman filtering, machine learning, deep learning, or other pertinent techniques.
* Aid in the development of autonomous magnetic surveying, uncertainty estimation, change detection, and refresh capabilities.
* Design calibration experiments, establish interference characterization protocols, and plan test maneuvers.
* Participate in the establishment of quantitative performance metrics for encompassing denoising compensation, map matching, and navigation accuracy.

Join us. The world can’t wait.
** You Have:
*** Experience with signal processing, sensor fusion, or navigation
* Experience with Kalman filtering, error-state estimation, Bayesian estimation, adaptive filtering, deep learning and reinforcement learning, or machine learning algorithms
* Experience with programming languages such as Python, MATLAB, C++, or scientific computing environments
* Knowledge of time-series signal processing, including filtering, spectral analysis, noise characterization, correlation analysis, detection, and estimation
* Knowledge of geomagnetism, crustal anomalies, Earth-field models, and geomagnetic disturbances
* Ability to work collaboratively alongside experts in hardware and software development, prototyping, and deployment
* Secret clearance
* Master’s degree in Electrical Engineering, Applied Physics, Applied Mathematics, CS, or Systems Engineering
** Nice If You Have:
*** Experience with magnetic sensing or autonomous systems
* Experience with PNT solutions for contested environments
* Experience handling multi-rate sensor data sampled asynchronously
* Experience with magnetic anomaly navigation and adaptive compensation techniques
* Experience in tactical, navigation, or strategic-grade inertial navigation systems
* Experience with map-matching, magnetic map creation, interpolation, or uncertainty analysis
* Experience applying machine learning for time-series denoising, anomaly detection, and adaptive compensation
* Ability to display…