Remote Sensing Software Engineer

Remote Sensing Software EngineerThe 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 *...