Remote Sensing Software Engineer

Booz Allen Hamilton

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Dayton, OH
Salary: $69,300–$158,000 / yr
Posted: 74 days ago
Freshness: Confirmed live yesterday
Closes: Sep 26, 2026
Nearby: 62 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k

This role $114k

$51k most similar roles pay here $237k

This role pays less than 91% of similar roles. Most pay $142,575–$219,150 — the shaded band above. At the midpoint, this role pays about $114k versus about $181k 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 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Remote Sensing Software Engineer

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As a Remote Sensing Software Engineer, you will join a technical delivery team focused on solving Space Domain Awareness and remote sensing challenges through advanced imaging, physics-based modeling, and AI/ML. You will develop software tools for radiometric modeling, satellite observation geometry, and signal processing workflows including motion compensation and super-resolution. Your daily work involves building ML-enabled detection and classification modules using EO/IR and synthetic datasets while designing scientific Python pipelines utilizing NumPy, SciPy, OpenCV, Astropy, or xarray. You will also manage orbital modeling tasks like SGP4 and TLE ingestion, perform imagery preprocessing, and maintain reproducible environments using GitLab and containers. The role requires expertise in PyTorch or TensorFlow, experience with large sensor datasets like HDF5, and a solid understanding of basic orbital mechanics to transform raw sensor data into actionable insights.

Skills

Python NumPy SciPy OpenCV Astropy xarray PyTorch TensorFlow HDF5 Docker Kubernetes Jenkins GitLab CI/CD Agile Remote Sensing Signal Processing Orbital Mechanics Kalman Filtering

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 using EO/IR data.
Design scientific Python pipelines using NumPy, OpenCV, and Astropy for real-time and batch processing.
Perform 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 developing software applications using Agile methods.
Proficiency in Python and scientific libraries such as NumPy, SciPy, OpenCV, or xarray.
Experience with machine learning frameworks like PyTorch or TensorFlow.
Experience with basic orbital mechanics.
Experience handling large sensor datasets such as HDF5 or cloud object storage.
Active TS/SCI clearance and willingness to take a polygraph exam.

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