Remote Sensing Software Engineer: AI-Driven Imaging

Booz Allen Hamilton; Aurora (CO); Remote; USD 69,000 - 158,000; Full time

Job summary

Booz Allen Hamilton is hiring a mid-level Remote Sensing Software Engineer to join a collaborative technical delivery team applying imaging, physics-based modeling, and AI/ML to OPIR and remote-sensing challenges. You will develop high-fidelity processing pipelines and secure, reliable tools that advance mission outcomes.

The role involves real-time and batch processing, radiometric calibration, and machine-learning modules using PyTorch or TensorFlow, with a remote-first posture and occasional

Qualifications

• At least 4 years of experience in domain research, image processing, or data exploitation.
• Experience designing, modifying, developing, writing, and implementing software applications using Agile methods.
• Experience with Python and scientific Python packages such as NumPy, SciPy, OpenCV, or xarray.
• Experience with basic orbital mechanics.
• Experience with machine-learning frameworks such as PyTorch or TensorFlow.
• Experience working with large sensor datasets, such as HDF5 or cloud object storage.
• Active TS/SCI clearance and willingness to take a polygraph exam.
• Bachelors degree in a STEM field.

Responsibilities

• Develop software tools for radiometric modeling and sensor observation geometry.
• Implement imaging and signal-processing workflows, including motion compensation, multi-frame alignment, and super-resolution.
• Build machine-learning modules for detection, anomaly identification, and object classification using operational and synthetic data.
• Design scientific Python pipelines with tools such as NumPy, OpenCV, Astropy, or SciPy for real-time and batch processing.
• Support orbital modeling tasks, including SGP4, TLE ingestion, and basic pose estimation.
• Preprocess imagery through radiometric calibration, artifact correction, and multi-frame filtering.
• Maintain reproducible environments using GitLab, containers, and experiment-tracking tools.
• Collaborate with astrodynamics subject-matter experts, operations personnel, and ML engineers to deliver integrated capabilities.

Skills

Domain research

Image processing

Data exploitation

Agile methodologies

Python

NumPy/SciPy/OpenCV

PyTorch

TensorFlow

Large sensor datasets

TS/SCI clearance

Bachelor's degree

Education

Bachelor's degree in STEM

Master's degree in Physics/Math/CS/SE

Tools

GitLab CI/CD

HDF5

OpenCV

Job description

Booz Allen Hamilton is hiring a mid-level Remote Sensing Software Engineer to join a collaborative technical delivery team applying imaging, physics-based modeling, and AI/ML to OPIR and remote-sensing challenges. You will develop high-fidelity processing pipelines and secure, reliable tools that advance mission outcomes.

The role involves real-time and batch processing, radiometric calibration, and machine-learning modules using PyTorch or TensorFlow, with a remote-first posture and occasional