Remote Sensing Software Engineer

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 Num Py, OpenCV, Astropy, or Sci Py, 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 Git Lab, containers, and experiment‑tracking tools.
• Collaborate with astrodynamics SMEs, operations personnel, and ML engineers to deliver integrated mission capabilities.

• 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 Num Py, Sci Py, OpenCV, or xarray.
• Experience with basic orbital mechanics.
• Experience with ML frameworks such as PyTorch or Tensor Flow.
• 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.