Job Number: R0243285 Remote Sensing Software Engineer The Opportunity: At Booz Allen, you'll join a team using advanced imaging, physics-based modeling, and AI / ML to solve some of the nation's most compelling Space Domain Awareness ( SDA ) and remote sensing challenges. You'll contribute to the design and development of high-fidelity processing pipelines that transform raw sensor data into insight. You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, and user-centric tools that accelerate mission outcomes. What You'll Do: - Develop software tools for radiometric modeling and satellite observation geometry. - Implement imaging and signal processing workflows, including motion compensation, multi-frame alignment, and super-resolution. - Build ML-enabled detection, anomaly identification, and object classification modules using operational EO/IR and synthetic datasets. - Design scientific Python pipelines such as NumPy, OpenCV, Astropy, or SciPy, for real time and batch processing. - Support orbital modeling tasks such as SGP4, TLE ingestion, or basic pose estimation. - Conduct imagery preprocessing such as radiometric calibration, artifact correction, and multi-frame filtering. - Maintain reproducible environments using GitLab, containers, and experiment-tracking tools. - Collaborate with astrodynamics SMEs, operations personnel, and ML engineers to deliver integrated mission capabilities. Join us. The world can't wait. You Have: - 4+ years of experience with remote sensing, image processing, or GEOINT data exploitation - Experience designing, modifying, developing, writing, and implementing software programming applications using Agile methods - Experience with Python and scientific Python packages such as NumPy, SciPy, OpenCV, or xarray - Experience with basic orbital mechanics - Experience with ML frameworks such as PyTorch or TensorFlow - Experience with large sensor datasets such as HDF5 or cloud object storage - Active TS/SCI clearance; willingness to take a polygraphexam - Bachelor's degree in a STEM field Nice If You Have: - Experience with administration of continuous integration or continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins - Experience with sensor phenomenology, radiometric calibration, or remote sensing interpretation - Experience with super-resolution, deblurring, spectral exploitation, or resolved feature extraction - Experience with uncertainty quantification, Kalman filtering, or tracking algorithms - Experience with AI-augmented development workflows or agentic tools - Experience with GitLab-based CI/CD workflows - Master's degree in Physics, Mathematics, CS, or a related STEM field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI 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
