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: 81 days ago
Freshness: Confirmed live yesterday
Closes: Sep 19, 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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The Remote Sensing Software Engineer joins a technical delivery team focused on solving Space Domain Awareness and remote sensing challenges through advanced imaging, physics-based modeling, and AI/ML. This role involves developing software tools for radiometric modeling, satellite observation geometry, and signal processing workflows such as motion compensation and super-resolution. The engineer will build ML-enabled modules for detection and object classification using EO/IR and synthetic datasets while designing scientific Python pipelines utilizing NumPy, SciPy, OpenCV, Astropy, or xarray. Daily tasks include performing orbital modeling via SGP4 and TLE ingestion, conducting imagery preprocessing like radiometric calibration, and maintaining reproducible environments using GitLab and containers. The role requires expertise in Python, PyTorch or TensorFlow, HDF5 data handling, and basic orbital mechanics to transform raw sensor data into actionable insights within the space domain.

Skills

Python NumPy SciPy OpenCV Astropy xarray PyTorch TensorFlow HDF5 GitLab Docker Kubernetes Jenkins CI/CD Agile SGP4 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 datasets.
Design scientific Python pipelines using NumPy, OpenCV, Astropy, or SciPy for real-time and batch processing.
Perform orbital modeling tasks such as SGP4, TLE ingestion, and basic 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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