Remote Sensing Software Engineer

Booz Allen Hamilton

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Quick summary

Work type: On-site
Location: Dayton, OH
Salary: $69,300–$158,000 / yr
Employment: Full-time
Posted: 43 days ago
Freshness: Confirmed live today
Closes: Dec 12, 2026
Nearby: 90 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $172k

This role $114k

$53k $223k

below market most similar roles pay here above market

This role pays less than 90% of similar roles. Most pay $137,500–$206,450 — the blue band above. At the midpoint, this role pays about $114k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Remote Sensing Software Engineer

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The Remote Sensing Software Engineer joins a technical delivery team to solve Space Domain Awareness and remote sensing challenges using advanced imaging, physics-based modeling, and AI/ML. The role involves developing software tools for radiometric modeling, satellite observation geometry, and imaging workflows like motion compensation and super-resolution. You will build ML-enabled detection and classification modules using operational EO/IR and synthetic datasets while designing scientific Python pipelines for real-time and batch processing. Key technologies include Python, NumPy, SciPy, OpenCV, xarray, PyTorch, and TensorFlow, alongside experience with HDF5 and cloud object storage. Responsibilities also encompass orbital modeling tasks like SGP4 and TLE ingestion, imagery preprocessing, and maintaining reproducible environments using GitLab, containers, and experiment-tracking tools to transform raw sensor data into actionable mission insights.

Skills

Python NumPy SciPy OpenCV PyTorch TensorFlow xarray Astropy Docker Kubernetes GitLab CI/CD HDF5 SGP4 Kalman filtering Remote Sensing Image Processing Signal Processing

What you'll do

Develop software tools for radiometric modeling and satellite observation geometry.
Implement imaging and signal processing workflows including motion compensation and super-resolution.
Build ML-enabled modules for detection, anomaly identification, and object classification.
Design scientific Python pipelines using NumPy, OpenCV, and SciPy for real-time and batch processing.
Support orbital modeling tasks such as SGP4, TLE ingestion, and pose estimation.
Conduct imagery preprocessing including radiometric calibration and artifact correction.
Maintain reproducible environments using GitLab, containers, and experiment-tracking tools.

What we're looking for

Bachelor’s degree in a STEM field.
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 and willingness to take a polygraph exam.