Remote Sensing Software Engineer (Mid) - ML & Imaging

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

Job summary

Booz Allen Hamilton seeks a Remote Sensing Software Engineer in the US (Colorado/Aurora area) to design and develop high-fidelity processing pipelines for remote sensing data. You will work on imaging, ML-enabled detection, and secure, reliable tools within a collaborative team.

The role emphasizes Python-based pipelines using NumPy, SciPy, OpenCV and Astropy, with experience in radiometric calibration, asset tracking, and real-time batch processing.

Qualifications

• 4+ years of experience in image processing, data exploitation, or domain research.
• Proficiency in Python and scientific Python packages (NumPy, SciPy, OpenCV, xarray).
• Experience with ML frameworks such as PyTorch or TensorFlow.
• Experience with large sensor datasets (e.g., HDF5).
• Basic orbital mechanics knowledge; willingness to learn more.

Responsibilities

• Develop software tools for radiometric modeling and sensor observation geometry.
• Implement imaging and signal processing workflows including motion compensation and super-resolution.
• Build ML-enabled detection, anomaly identification, and object classification modules.

Skills

Python

Image processing

ML frameworks

Agile methods

Orbital mechanics basics

HDF5/data storage

Security clearance

Education

Bachelor's degree in STEM

Tools

GitLab

Containers

Experiment-tracking tools

Job description

Booz Allen Hamilton seeks a Remote Sensing Software Engineer in the US (Colorado/Aurora area) to design and develop high-fidelity processing pipelines for remote sensing data. You will work on imaging, ML-enabled detection, and secure, reliable tools within a collaborative team.

The role emphasizes Python-based pipelines using NumPy, SciPy, OpenCV and Astropy, with experience in radiometric calibration, asset tracking, and real-time batch processing.