Remote Sensing Software Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Dayton, OH
Salary: $69,300–$158,000 / yr
Posted: 6 days ago
Closes: Sep 19, 2026
Nearby: 53 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $155k

This role $114k

$54k most similar roles pay here $209k

This role pays less than 90% of similar roles. Most pay $128,825–$180,818 — the shaded band above. At the midpoint, this role pays about $114k versus about $155k 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 729 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 717 roles with salary data.

Most-posted roles

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 at Booz Allen, you will join a collaborative technical delivery team focused on Space Domain Awareness and remote sensing challenges. Your role involves developing software tools for radiometric modeling and satellite observation geometry, implementing imaging workflows with motion compensation and super-resolution techniques, and building ML modules for detection and object classification using EO/IR datasets. You’ll design Python pipelines with scientific packages like NumPy and OpenCV for real-time processing, support orbital modeling tasks, and maintain reproducible environments using GitLab and containers. Key skills include 4+ years of experience in remote sensing or image processing, proficiency in Python and ML frameworks such as PyTorch, and familiarity with large sensor datasets and basic orbital mechanics.

Skills

Python NumPy SciPy OpenCV xarray PyTorch TensorFlow HDF5 Kubernetes Docker Jenkins GitLab CI/CD SGP4 TLE Kalman Filtering

What you'll do

Develop software tools for radiometric modeling and satellite observation geometry.
Implement imaging workflows including motion compensation and multi-frame alignment.
Build ML modules for detection, anomaly identification, and object classification.
Design Python pipelines using scientific packages like NumPy and SciPy.
Conduct imagery preprocessing tasks such as radiometric calibration and artifact correction.

What we're looking for

4+ years of experience with remote sensing and image processing.
Proficiency in Python and scientific packages like NumPy, SciPy, OpenCV.
Experience with ML frameworks such as PyTorch or TensorFlow.
Knowledge of basic orbital mechanics and sensor datasets (HDF5).
Ability to design and maintain reproducible software environments.

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