Remote Sensing Software Engineer, Senior

Booz Allen Hamilton

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Quick summary

Work type
On-site
Location
Dayton, OH
Salary
$86,800–$198,000 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $175k
This role $142k
$70k $240k
below market most similar roles pay here above market

This role pays less than 82% of similar roles. Most pay $149,500–$200,312 — the blue band above. At the midpoint, this role pays about $142k versus about $175k 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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Remote Sensing Software Engineer, Senior

The Remote Sensing Software Engineer, Senior joins a collaborative technical delivery team to architect advanced SDA and remote sensing exploitation pipelines. You will lead multi-disciplinary teams in building high-fidelity space observation analytics, focusing on imaging physics, ML-based behavior inference, and multi-sensor fusion. Daily responsibilities include developing radiometric and spectral response models, overseeing imaging algorithms like multi-frame super-resolution, and directing ML-based anomaly detection and object discrimination frameworks. You will design scalable scientific computing solutions for EO/IR missions, integrating GEOINT, Radar, RF, and optical data. Required technical skills include Python, C++, CUDA, and experience with HPC clusters or cloud-native platforms. You must also manage CI/CD pipelines using Kubernetes, Docker, or Jenkins while solving complex problems in orbital mechanics, satellite characterization, and 3D kinematic modeling.

What you'll do

  • Architect end-to-end remote sensing processing systems for EO/IR missions.
  • Lead 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 IOD and parallax exploitation.
  • Architect scalable scientific computing solutions using Python, C++, CUDA, or cloud-native platforms.
  • Mentor junior engineers and establish technical roadmaps with mission leadership.

What we're looking for

  • 8+ years of experience in remote sensing, image or signal processing, or GEOINT data exploitation.
  • Experience with orbital mechanics, satellite characterization, domain-specific applications, or SDA operational workflows.
  • Experience with Python, scientific Python packages, or other object-oriented languages like C++ or JavaScript.
  • Experience architecting with large-scale software environments such as CUDA, HPC, or cloud.
  • Experience with ML systems for imagery processing, target detection, tracking, or object classification.
  • Experience with administration of CI/CD pipelines using Kubernetes, Docker, or Jenkins.
  • Active TS/SCI clearance and willingness to take a polygraph exam.
  • Bachelor’s degree in a STEM field.

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