Remote Sensing Software Engineer

Jobtailor; Dayton (OH); On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor in Dayton, OH seeks a software engineer to develop radiometric modeling tools and imaging workflows for satellite observation geometry.

You will design Python pipelines using NumPy, SciPy, OpenCV, and xarray, handle large sensor datasets, and implement ML‑enabled detection with EO/IR data. An active TS/SCI clearance is required for this role, with collaboration across ML and astrodynamics teams.

Qualifications

• 4+ years of experience with remote sensing, image processing, or GEOINT data exploitation.
• Experience designing, modifying, developing, writing, and implementing software programming applications using agile methods.
• Proficiency in Python and scientific Python 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.
• Active TS/SCI clearance and willingness to take a polygraph exam.
• Bachelor’s degree in a STEM field.

Responsibilities

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

Skills

Remote sensing

Image processing

GEOINT data exploitation

Python programming

ML foundations

Agile development

Big data handling

Education

Bachelor’s degree in a STEM field

Tools

NumPy

SciPy

OpenCV

xarray

Python ecosystem

HDF5

Job description

Responsibilities

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

Requirements

• 4+ years of experience with remote sensing, image processing, or GEOINT data exploitation.
• Experience designing, modifying, developing, writing, and implementing software programming applications using agile methods.
• Proficiency in Python and scientific Python 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.
• Active TS/SCI clearance and willingness to take a polygraph exam.
• Bachelor’s degree in a STEM field.