Remote Sensing Software Engineer, Mid The Opportunity
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.
What You'll Do:
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 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 capabilities
Join us. The world can't wait.
You Have:
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 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
Nice If You Have:
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 GitLab based CI/CD workflows
Master’s degree in Physics, Mathematics, Computer Science, Software Engineering or 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.
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.
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 determined by various factors, including but not limited to location, the…