Max Hoffmann is a Senior AI Engineer with 15 years of experience who blends deep computational physics training with hands-on ML and software engineering to build explainable, safety-first systems for autonomous vehicles. He has led production ML and scenario-evaluation efforts at Apple SPG, built backend and dispatch systems at drive.ai, and accelerated materials discovery via research platforms at Stanford, demonstrating fluency from supercomputing science to full-stack microservices. Skilled in Python, SQL, React/Node, and safety standards like ISO 26262/21448, he focuses on rigorous, data-driven validation frameworks that benchmark autonomy against human performance. Based in Berlin, he consistently translates long-tail historical datasets into predictive, interpretable models—an approach informed by his PhD in computational surface physics and a knack for turning research prototypes into operational tools.
16 years of coding experience
11 years of employment as a software developer
Master’s Degree Physics w/ Computer Science orientation, Master’s Degree Physics w/ Computer Science orientation at Freie Universität Berlin
Ph.D. Computational Surface Physics and Chemistry, Ph.D. Computational Surface Physics and Chemistry at Technical University of Munich
exchange year Condensed Matter Physics Quantum Many Body Physics, exchange year Condensed Matter Physics Quantum Many Body Physics at UC Santa Barbara
Diploma thesis Physics, Diploma thesis Physics at Fritz-Haber-Institut der Max-Planck-Gesellschaft
Contributions:6 pushes, 1 branch in 9 years 1 month
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