Matthias Ellmer is a senior software engineer specializing in high-performance C++ and Python solutions for Earth observation and satellite gravimetry, with 11 years of experience spanning academia and NASA JPL to Planet’s Orbits R&D. He has architected and optimized large-scale MPI-parallel workflows that cut runtimes by up to 98%, enabled higher-resolution mass-change products, and lowered noise floors in gravity field solutions through data-driven noise modeling. Skilled in end-to-end pipeline automation, auditable workflows, and web dashboards, he combines deep geodesy and covariance analysis expertise with practical software engineering to turn petabyte-scale sensor data into actionable spatial insights. A PhD-trained geodesist who grew university HPC capacity sixfold and mentors early-career researchers, Matthias brings a blend of scientific rigor and production-grade engineering to satellite mission data challenges.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Doctoral Program in Engineering Sciences - Surveying and Geoinformation, Doctor of Philosophy - PhD, Doctoral Program in Engineering Sciences - Surveying and Geoinformation at Technische Universität Graz
Engineer's degree, Dipl.-Ing. of Geodesy and Geoinformatics (MSc equivalent), Engineer's degree, Dipl.-Ing. of Geodesy and Geoinformatics (MSc equivalent) at University of Stuttgart
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Matthias Ellmer - Senior Software Engineer, Orbits R&D at Planet