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PNT Research Engineer

Job in Washington, District of Columbia, 20022, USA
Listing for: Booz Allen Hamilton
Full Time position
Listed on 2026-10-01
Job specializations:
  • Engineering
    Electrical Engineering, Robotics, AI Engineer (Applied/Software), Systems Engineer
Salary/Wage Range or Industry Benchmark: 62000 - 141000 USD Yearly USD 62000.00 141000.00 YEAR
Job Description & How to Apply Below

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

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 spe cia lists, 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 compe nsa tion.
  • Apply signal processing and filtering met hodologies 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 met rics for encompassing denoising compe nsa tion, 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, c rus tal anomalies, Earth-field models, and geomagnetic disturbances
  • Ability to work collaboratively alongside experts in hardware and sof tware development, prototyping, and deployment
  • 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 compe nsa tion techniques
  • Experience in tactical, navigation, or strategic-grade inertial navigation systems
  • Experience with map-matching, magnetic map creation,…
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