Calibration Software Engineer, Geometry

Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. They are seeking a Calibration Software Engineer, Geometry, to focus on geometric calibration and geospatial data processing of multi-spectral infrared data, working on algorithms and systems to enhance the quality of FireSat data products.

Responsibilities:

• Complete on-orbit geometric calibration of new FireSat satellites during the commissioning phase
• Design and implement geometric calibration of multispectral infrared imagery from Muon's infrared missions, including camera geometry modeling and geolocation calibration
• Develop and implement geolocation calibration algorithms to validate and correct on-orbit pointing knowledge
• Continuously improve geospatial processing algorithms including bundle adjustment, orthorectification, and atmospheric corrections
• Research and develop metrics for and improvements to geometric accuracy, image registration, and spatial data quality
• Implement and operate production pipelines for geometric calibration and geospatial data processing
• Write production-ready code
• Work cross-functionally within the team and across Muon to design, build, and maintain operational services from Muon's core remote sensing missions
• Learn new topics as needed (measurement techniques, geospatial data engineering, software engineering, customer domain-specific implications)

Requirements:

• PhD with 5+ years of experience in a relevant domain (remote sensing, photogrammetry, geodesy, astronomy, physics, or related field); or MS with 8+ years industry experience; or BS with 10+ years industry experience
• Hands-on experience with geometric calibration of imaging instruments
• Deep knowledge of the science of remote sensing and photogrammetric processing including bundle adjustment and orthorectification
• Strong mathematical skills, particularly in geometry, linear algebra, and statistics
• Exceptional skills in Python-based development and analysis
• Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support)
• Ability to thrive in a fast-paced startup environment
• Experience calibrating on-orbit instruments
• Experience with mid-wave or long-wave infrared instruments and data processing
• Experience developing or applying atmospheric correction algorithms for infrared or multispectral imagery
• Familiarity with common geospatial data tooling and formats (e.g. XArray, COG, GeoTIFF, NetCDF, gdal)
• Familiarity with cloud-native systems (AWS preferred)
• Experience working with large datasets
• Experience with image quality assessment (e.g. MTF, spatial resolution characterization)