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 develop ment 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, user centric tools that accelerate mission outcomes.

What You'll Work On

• Develop sof tware tools for radio met ric modeling and satellite observation geo met ry.
• Implement imaging and signal processing workflows including motion compe nsa tion, 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 radio met ric 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, develop ing, writing, and implementing sof tware programming applications using agile met hods
• 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...