Remote Sensing Software Engineer, Mid

As a Remote Sensing Software Engineer 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 OPIR 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.

Job Number: R0250626

Remote Sensing Software Engineer, Mid

• Develop software tools for radiometric modeling and sensor 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 data 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 capabilities

Join us. The world can't wait.

• 4+ years of experience with domain research, image processing, or 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

• Experience with sensor phenomenology, radiometric calibration, or signature interpretation
• Experience with super-resolution, deblurring, scene 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 Physics, Mathematics, Computer Science, Software Engineering or related STEM field

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.

Skills Assessment As part of Booz Allen’s skills first hiring process, candidates must complete the required skills assessment to ensure they meet the Basic Qualifications for this role. Candidates must complete the assessment and meet the minimum proficiency threshold to continue in the hiring process.

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…