Remote Sensing Software Engineer, Senior

Booz Allen Hamilton

Quick summary

Work type
On-site
Location
Dayton, OH
Salary
$86,800–$198,000 / yr
Posted
6 days ago
Closes
Sep 19, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k
This role $142k
$70k most similar roles pay here $242k

This role pays less than 86% of similar roles. Most pay $160,350–$198,800 — the shaded band above. At the midpoint, this role pays about $142k versus about $180k 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.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Remote Sensing Software Engineer, Senior

As a Senior Remote Sensing Software Engineer, you will join a collaborative technical delivery team to architect advanced SDA and remote sensing exploitation pipelines, guiding the development of high-fidelity space observation analytics. Your day-to-day responsibilities include leading the creation of radiometric and spectral response models, overseeing imaging algorithms, directing ML-based anomaly detection frameworks, and designing multi-sensor fusion pipelines using Python, C++, CUDA, HPC clusters, or cloud-native platforms. You will also mentor junior engineers and collaborate with mission leadership to set technical roadmaps. This role requires 8+ years of experience in remote sensing, image processing, or GEOINT data exploitation, along with expertise in orbital mechanics, satellite characterization, and large-scale software environments like CUDA and HPC. Strong skills in Python, scientific computing packages, and ML systems for imagery processing are essential, as is experience with CI/CD pipelines using Kubernetes or Docker.

What you'll do

  • Architect end-to-end remote sensing processing systems for EO/IR missions.
  • Lead development of radiometric and spectral response models for imaging data.
  • Direct the creation of ML-based anomaly detection and behavior classification frameworks.
  • Design multi-sensor fusion pipelines integrating various types of geospatial intelligence data.
  • Mentor junior engineers and help set technical road maps in collaboration with leadership.

What we're looking for

  • 8+ years of experience in remote sensing, image processing, or GEOINT data exploitation.
  • Expertise in architecting large-scale software environments using Python, C++, CUDA, HPC clusters, and cloud platforms.
  • Proficiency in developing advanced imaging algorithms and multi-sensor fusion pipelines.
  • Experience leading the development of ML-based anomaly detection and behavior classification frameworks.
  • Strong background in orbital mechanics, satellite characterization, and SDA operational workflows.

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