Job description

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 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 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 compe nsa tion 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 compe nsa tion 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. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Requirements

Must-haves

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.
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
Secret clearance
Master’s degree in Electrical Engineering, Applied Physics, Applied Mathematics, CS, or Systems Engineering
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, interpolation, or uncertainty analysis
Experience applying machine learning for time-series denoising, anomaly detection, and adaptive compe nsa tion
Ability to display peer-reviewed publications in navigation, magnetic sensing, signal processing, autonomous systems, or similar fields

Nice-to-haves

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Application prep

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Keywords to mirror

machine learningpythonai

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Professional Development