Summary
Thomas Schoenemeyer is a Senior Solution Architect specializing in autonomous driving with 25 years of expertise across HPC, datacenter and AI infrastructures. Based in Bad Aibling, Germany, he architects end-to-end NVIDIA-driven production environments—from POCs to large-scale deployments like the Circe supercomputer—focusing on performance, stability and reproducibility for mission-critical workloads. His background spans vendor and research roles (NVIDIA, Microsoft, Cray, Huawei, national supercomputing centers) where he bridged processor, interconnect and accelerator evaluation with customer-facing solutionization. Thomas combines deep technical skills in HPC, deep learning and orchestration (Kubernetes, Slurm) with hands-on operational experience tuning real-world automotive and industrial workloads. He is particularly interested in sustainable mobility and resilient system design that deliver predictable results in safety-critical contexts. A former research fellow with advanced academic training in physics and meteorology, he brings an uncommon mix of scientific rigor and pragmatic engineering.
9 years of coding experience
14 years of employment as a software developer
Diploma, Meteorology, Diploma, Meteorology at Universität Karlsruhe (TH) / University of Karlsruhe
Doctorate of Natural Sciences, Physics, Doctorate of Natural Sciences, Physics at Universität Bonn / University of Bonn
German, English, Italian