PNT Research Engineer

Booz Allen Hamilton; Washington (District of Columbia); On-site; USD 62,000 - 141,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

Signal processing

Sensor fusion

Navigation

Kalman filtering

Error-state estimation

Bayesian estimation

Machine learning

Deep learning

Python

MATLAB

C++

Time-series analysis

Geomagnetism knowledge

Education

Master’s degree in Electrical Engineering

Master’s degree in Applied Physics

Tools

Python

MATLAB

C++

Job description

**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 peer-reviewed publications in navigation, magnetic sensing, signal processing, autonomous systems, or similar fields* Doctorate degree**Clearance:**Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.**Compensation**At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.