Remote Sensing Software Engineer

Booz Allen Hamilton

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Quick summary

Work type: On-site
Location: Dayton, OH
Salary: $69,300–$158,000 / yr
Employment: Full-time
Posted: 1 day ago
Freshness: Confirmed live today
Nearby: 90 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $172k

This role $114k

$53k $223k

below market most similar roles pay here above market

This role pays less than 90% of similar roles. Most pay $137,500–$206,450 — the blue band above. At the midpoint, this role pays about $114k versus about $172k 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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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Remote Sensing Software Engineer

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The Remote Sensing Software Engineer joins a technical delivery team to address Space Domain Awareness and remote sensing challenges. You will develop software tools for radiometric modeling, satellite observation geometry, and imaging workflows including motion compensation and super-resolution. Your daily tasks involve building ML-enabled detection and object classification modules using operational EO/IR and synthetic datasets. You will design scientific Python pipelines utilizing NumPy, SciPy, OpenCV, and xarray to process large sensor datasets like HDF5. Key responsibilities include supporting orbital modeling tasks such as SGP4 and TLE ingestion while maintaining reproducible environments using GitLab and containers. The role requires expertise in image processing, basic orbital mechanics, and ML frameworks like PyTorch or TensorFlow to transform raw sensor data into actionable insights for mission outcomes.

Skills

Python NumPy SciPy OpenCV PyTorch TensorFlow xarray Astropy Docker Kubernetes GitLab CI/CD HDF5 SGP4 Kalman filtering Remote Sensing Image Processing Agile

What you'll do

Develop software tools for radiometric modeling and satellite observation geometry.
Implement imaging and signal processing workflows including motion compensation and super-resolution.
Build ML-enabled modules for detection, anomaly identification, and object classification.
Design scientific Python pipelines using NumPy, OpenCV, and SciPy for real-time and batch processing.
Support orbital modeling tasks such as SGP4, TLE ingestion, and pose estimation.
Conduct imagery preprocessing including radiometric calibration and artifact correction.
Maintain reproducible environments using GitLab, containers, and experiment-tracking tools.

What we're looking for

Bachelor’s degree in a STEM field.
Active TS/SCI clearance and willingness to take a polygraph exam.
4+ years of experience with remote sensing, image processing, or GEOINT data exploitation.
Experience designing and implementing software applications using Agile methods.
Experience with Python and scientific packages such as NumPy, SciPy, OpenCV, or xarray.
Experience with basic orbital mechanics.
Experience with ML frameworks such as PyTorch or TensorFlow.
Experience with large sensor datasets such as HDF5 or cloud object storage.