Teams at Muon Space

Build and operate production calibration and image-processing pipelines for multispectral infrared satellite imagery. Translate calibration algorithms into reliable software with testing, monitoring, alerting, diagnostics, CI/CD, and observability. Analyze pre-launch and on-orbit data, validate calibration coefficients, manage uncertainty budgets, and support calibration campaigns for FireSat and SBEM missions. Collaborate with scientists, instrument engineers, and product teams to ensure radiometric integrity and scientific quality of data products.

Build and operate production Python pipelines and backend services for infrared satellite data, processing imagery from raw captures through derived wildfire products. Optimize latency and cloud costs, develop geospatial data catalogs and APIs, create visualization tools, and implement testing, observability, and reliable release processes. Partner with remote-sensing scientists to productionize research code and collaborate across data platform and flight software teams.

Develop and productionize algorithms that transform multispectral infrared satellite imagery into derived geospatial data products. Build scalable Python-based processing pipelines, validate scientific quality, document product designs, and integrate operational services for customer-facing applications. Collaborate with scientists, software and instrument engineers, product owners, and customers across wildfire, weather, and environmental monitoring missions. The hybrid role requires three days weekly onsite in Denver, Colorado.