Senior Remote Sensing Software Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

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

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $189k
This role $142k
$69k most similar roles pay here $252k

This role pays less than 88% of similar roles. Most pay $155,800–$222,000 — the shaded band above. At the midpoint, this role pays about $142k versus about $189k 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 · Senior Remote Sensing Software Engineer

As a Remote Sensing Software Engineer, Senior, you will join a technical delivery team to architect advanced SDA and remote sensing exploitation pipelines for EO/IR missions. You will lead multi-disciplinary teams in building high-fidelity space observation analytics, including radiometric and spectral response models, multi-frame super-resolution algorithms, and ML-based behavior inference. Your daily work involves designing multi-sensor fusion pipelines integrating GEOINT, Radar, RF, and optical data while developing 3D kinematic modeling and trajectory estimation. You will build scalable scientific computing solutions using Python, C++, CUDA, HPC clusters, or cloud-native platforms. The role requires expertise in image processing, orbital mechanics, and CI/CD tools like Kubernetes, Docker, or Jenkins. This position addresses complex technical challenges in space observation, specifically focusing on target phenomenology detection, object discrimination, and uncertainty quantification within the domain of satellite characterization and SDA operational workflows.

What you'll do

  • Architect end-to-end remote sensing processing systems for EO/IR missions.
  • Lead the development of radiometric and spectral response models.
  • Oversee advanced imaging algorithms including super-resolution, deconvolution, and low-SNR enhancement.
  • Direct ML-based frameworks for anomaly detection, behavior classification, and object discrimination.
  • Design multi-sensor fusion pipelines integrating GEOINT, Radar, RF, and optical data.
  • Lead trajectory estimation and 3D kinematic modeling including parallax exploitation and uncertainty quantification.
  • Architect scalable scientific computing solutions using Python, C++, CUDA, or cloud platforms.
  • Mentor junior engineers and establish technical roadmaps with mission leadership.

What we're looking for

  • Bachelor's degree in a STEM field is required.
  • Master's or Doctorate degrees in Computer Science, Software Engineering, Physics, or Mathematics are preferred.
  • 8+ years of experience in remote sensing, image/signal processing, or GEOINT data exploitation.
  • Experience with Python, C++, JavaScript, and related scientific programming packages.
  • Experience architecting for large-scale environments including CUDA, HPC, or cloud platforms.
  • Experience with ML systems for imagery processing, target detection, tracking, or object classification.
  • Experience managing CI/CD pipelines using Kubernetes, Docker, or Jenkins.
  • Active TS/SCI clearance and willingness to take a polygraph exam.

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