Remote Sensing Software Engineer

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, user centric tools that accelerate mission outcomes.

What You'll Do:
Developsoftware 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 Num Py, OpenCV, Astropy, or Sci Py, 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 Git Lab, 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 Num Py, Sci Py, OpenCV, or xarray

Experience with basic orbital mechanics

Experience with ML frameworks such as PyTorch or Tensor Flow 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

Nice If You Have:  

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 Git Lab based CI/CD workflows

Master’s degree in an engineering field, or Physics, Mathematics, Computer Science, 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 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…