PNT Research Engineer: Magnetic Navigation & Sensor Fusion

Booz Allen Hamilton; Washington (District of Columbia); Hybride; USD 62 000 - 141 000; Plein temps

Résumé du poste

Booz Allen Hamilton seeks a PNT Research Engineer to advance GPS-free navigation platforms. You will develop simulation tools, apply denoising and data fusion, and validate performance in real-world environments.

Collaborating with physicists, engineers, and domain experts, you will implement signal processing, machine learning, and hybrid multi-sensor techniques, while preparing for sensitive, security-clearance workflows.

Qualifications

• 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.

Responsabilités

• Create a comprehensive simulation platform for magnetic anomaly navigation with denoising, data fusion, and error compensation.
• Apply signal processing and filtering to advance detection, characterization, and suppression of magnetic interference within a multi-sensor framework.
• Develop automated routines for heading-error suppression using machine learning and deep learning approaches.
• Assist in designing multi-sensor fusion algorithms through Kalman filtering and other techniques.
• Aid in autonomous magnetic surveying, uncertainty estimation, change detection, and refresh capabilities.
• Design calibration experiments, interference characterization protocols, and test maneuvers.
• Contribute to quantitative performance metrics for denoising, compensation, map matching, and navigation accuracy.

Connaissances

Signal processing

Sensor fusion

Navigation

Kalman filtering

Error-state estimation

Bayesian estimation

Machine learning

Deep learning

Python

MATLAB

C++

Time-series analysis

Geomagnetism knowledge

Formation

Master’s degree in Electrical Engineering

Master’s degree in Applied Physics

Outils

Python

MATLAB

C++

Description du poste

Booz Allen Hamilton seeks a PNT Research Engineer to advance GPS-free navigation platforms. You will develop simulation tools, apply denoising and data fusion, and validate performance in real-world environments.

Collaborating with physicists, engineers, and domain experts, you will implement signal processing, machine learning, and hybrid multi-sensor techniques, while preparing for sensitive, security-clearance workflows.