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Remote Sensing Software Engineer

Part-time

Booz Allen Hamilton

Dayton, OHFull-time / Part-timeSeen 2 days agoSeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Dayton, OH
Schedule
Full-time / Part-time
Work Authorization
US work authorization required

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Requirements

Credentials this posting asks for.

TS/SCI clearanceBachelor's degree

Job overview

The Remote Sensing Software Engineer will contribute to a technical delivery team developing high-fidelity processing pipelines for Space Domain Awareness and remote sensing. The work includes software tools for radiometric modeling, imaging and signal processing workflows, machine-learning modules, and scientific Python pipelines. The role also supports orbital modeling and imagery preprocessing, maintains reproducible environments, and collaborates with subject-matter experts and engineers.

Skills & qualifications

RequiredNice to have

Skills

Remote SensingImage ProcessingGEOINT Data ExploitationAgile MethodsPythonNumPySciPyOpenCVXarrayOrbital MechanicsPyTorchTensorFlowHDF5Cloud Object StorageKubernetesDockerJenkinsSensor PhenomenologyRadiometric CalibrationRemote Sensing InterpretationSuper-ResolutionDeblurringSpectral ExploitationResolved Feature ExtractionUncertainty QuantificationKalman FilteringTracking AlgorithmsAI-Augmented DevelopmentAgentic ToolsGitLab CI/CD

Qualifications

4+ Years ExperienceActive TS/SCI ClearanceWillingness to Take PolygraphBachelor's in STEMMaster's in Engineering or Related STEM

Benefits

Medical Insurance
401(k) Match
Paid Time Off
Tuition Assistance

Full job description

Job Number: R0242684 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 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 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 - Active TS/SCI clearance; willingness to take a polygraphexam - 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 GitLab 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 wee

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