Summary
Maximilian Stadler is an AI Developer Technology Engineer at NVIDIA with eight years of experience accelerating graph neural networks and ML workloads. He combines a strong academic foundation—top grades in Engineering Science and Robotics, Cognition, Intelligence from TUM and an exchange at UCSD—with hands-on systems experience from embedded to AI tooling. At NVIDIA he focuses on performance and developer enablement for GNNs, building on earlier roles that ranged from C++/Qt UI work to Arduino-based mission systems and Python integrations. He has a track record of teaching complex subjects at TUM, mentoring students in parallel programming, NLP, and graph ML, which reflects both technical depth and an ability to communicate difficult concepts. Known for blending research-grade understanding with production-minded optimization, he brings rigorous engineering discipline to developer-facing AI performance problems.
7 years of coding experience
University of California, San Diego
Bachelor of Science - BS, Engineering Science (210 ECTS), 1.2, Bachelor of Science - BS, Engineering Science (210 ECTS), 1.2 at Technical University Munich
Master of Science - MS, Robotics, Cognition, Intelligence (120 ECTS), 1.0, Master of Science - MS, Robotics, Cognition, Intelligence (120 ECTS), 1.0 at Technische Universität München
Abitur, 1.0, Abitur, 1.0 at Maria-Ward-Gymnasium Altötting
German, English, French, Latin, Italian