Remote Sensing Software Engineer

Booz Allen Hamilton

Quick summary

Work type
On-site
Location
Dayton, OH
Salary
$69,300–$158,000 / yr
Posted
3 days ago
Closes
Sep 26, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $153k
This role $114k
$56k most similar roles pay here $196k

This role pays less than 84% of similar roles. Most pay $127,567–$178,304 — the shaded band above. At the midpoint, this role pays about $114k versus about $153k 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 702 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 691 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Remote Sensing Software Engineer

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 daily tasks will include developing software tools for radiometric modeling and satellite observation geometry, implementing imaging and signal processing workflows, building ML-enabled detection modules, and conducting imagery preprocessing such as radiometric calibration and artifact correction. You will design scientific Python pipelines using libraries like NumPy, OpenCV, Astropy, and SciPy, maintain reproducible environments with GitLab and containers, and collaborate closely with astrodynamics SMEs and operations personnel to deliver integrated mission capabilities. The role requires 4+ years of experience in remote sensing or image processing, proficiency in Python and scientific packages, knowledge of basic orbital mechanics, and familiarity with ML frameworks like PyTorch or TensorFlow. Additional skills such as CI/CD pipeline administration and sensor phenomenology expertise are highly desirable.

What you'll do

  • Develop software tools for radiometric modeling and satellite observation geometry.
  • Implement imaging and signal processing workflows including motion compensation and multi-frame alignment.
  • Build ML modules for detection, anomaly identification, and object classification using EO/IR datasets.
  • Design Python pipelines with NumPy, OpenCV, Astropy, or SciPy for real-time and batch processing.
  • Conduct radiometric calibration, artifact correction, and multi-frame filtering of imagery data.
  • Support orbital modeling tasks involving SGP4, TLE ingestion, and basic pose estimation.

What we're looking for

  • 4+ years of experience in remote sensing, image processing, or GEOINT data exploitation.
  • Proficiency in Python and scientific packages like NumPy, SciPy, OpenCV, and xarray.
  • Experience with basic orbital mechanics and ML frameworks such as PyTorch or TensorFlow.
  • Knowledge of large sensor datasets including HDF5 and cloud object storage.
  • Ability to design and implement high-fidelity processing pipelines for real-time and batch processing.

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