This role pays less than
88%
of similar roles. Most pay
$134,599–$214,000
— the shaded band above.
At the midpoint, this role pays about
$114k
versus about
$174k
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
1240 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 817 roles with salary data.
As a Remote Sensing Software Engineer, Mid, you will join a technical delivery team focused on solving complex OPIR and remote sensing challenges through advanced imaging, physics-based modeling, and AI/ML. You will develop software tools for radiometric modeling, sensor observation geometry, and orbital modeling tasks like SGP4 and TLE ingestion. Your daily work involves building high-fidelity processing pipelines, implementing signal processing workflows such as motion compensation and super-resolution, and creating ML-enabled modules for detection and object classification. You will utilize Python and scientific libraries including NumPy, SciPy, OpenCV, Astropy, and xarray to process large sensor datasets in HDF5 or cloud storage formats. The role requires expertise in PyTorch or TensorFlow, experience with orbital mechanics, and the ability to maintain reproducible environments using GitLab and containerized workflows to transform raw sensor data into actionable insights.
Remote Sensing
Python
C++
CUDA
HPC
Signal Processing
Kalman Filtering
Multi-sensor Fusion
Trajectory Estimation
Orbital Mechanics
JavaScript
Scientific Python