Summary
Yujun Zhang is a Principal Systems Software Engineer based in Shanghai with 6 years focused on Autonomous Vehicles infrastructure, currently operating NVIDIA’s MagLev AV platform and managing 10+ Kubernetes clusters hosting 100+ microservices each. He combines deep embedded and electrical engineering roots from Tsinghua with hands-on cloud-native and DevOps/SRE practice, having migrated large-scale data labeling to AWS China and adapted air-gapped hybrid cloud environments. Yujun is an active open-source engager—contributing to projects like cue, temporal-operator, argo-cd, kustomize and kubespray—and earlier led OPNFV benchmarking and cloud-native initiatives at ZTE. His background spans firmware, protocol testing, and ISO/IEC lab accreditation, which gives him a rare end-to-end perspective from hardware and real-time systems to distributed cloud platforms. Colleagues rely on him for pragmatic automation, robust platform migrations, and performance-driven operating practices that keep safety-critical AV data pipelines running.
6 years of coding experience
12 years of employment as a software developer
Master, Electrical Engineering, Master, Electrical Engineering at 清华
Bachelor, Electrical Engineering, Bachelor, Electrical Engineering at Tsinghua University
Taizhou Middle School
English, Chinese