Nathaniel Felsen is an experienced infrastructure and SRE engineer with over a decade of hands-on experience building and operating large-scale AI and data platforms. He has led AI infrastructure efforts at Tesla—deploying and automating clusters with tens of thousands of GPUs, Infiniband/RoCE networking and bespoke provisioning stacks—and now works on AI infrastructure and HPC at Microsoft AI. Nathaniel blends deep operational skills across bare metal, VMs, containers and cloud with strong automation chops (NetBox, MAAS, Vault, Ansible, Python) and a history of introducing Kubernetes, CI/CD and advanced monitoring into production. He’s equally comfortable designing secure egress/IAM controls and crafting custom Prometheus exporters and observability tooling to tame complex systems. A proven people leader and mentor, he has built teams and internship programs while driving cross-functional security and audit improvements. His background in math and systems security plus an Engineering Leadership certificate from Cornell underpin a practical, systems-first approach to scaling cutting‑edge AI infrastructure.
11 years of coding experience
17 years of employment as a software developer
Master Computer Science System Network Security, Master Computer Science System Network Security at EPITA: Ecole d'Ingénieurs en Informatique
Engineering Leadership Certificate, Engineering Leadership Certificate at Cornell University
Bachelor of Science (BS) Mathematics and Computer Science, Bachelor of Science (BS) Mathematics and Computer Science at Université Louis Pasteur (Strasbourg I)
Contributions:10 reviews, 7 commits, 17 PRs in 3 years 2 months
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Nathaniel Felsen - Member Of Technical Staff at Microsoft AI