Remote Sensing Software Engineer

Booz Allen Hamilton is a leading consulting firm focused on solving complex challenges through advanced technology. They are seeking a Remote Sensing Software Engineer to develop software tools for radiometric modeling and satellite observation, as well as to build machine learning modules for detection and classification using sensor data.

Responsibilities:

• 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

Requirements:

• 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 polygraph exam
• Bachelor's degree in a STEM field
• Experience with administration of continuous integration/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 an engineering field, or Physics, Mathematics, Computer Science, or a related STEM field