Engineering at Meta's Scale -- Infrastructure, AI Systems, and Technical Philosophy

Meta operates infrastructure at a scale matched by very few companies on earth -- 3.58 billion daily users, 129K GPU training clusters, and plans for gigawatt-scale AI data centers. This module dives into Meta's engineering blog themes, their infrastructure evolution for the AI era, custom silicon (MTIA), open-source contributions (PyTorch, Llama), and the technical philosophy that drives engineering decisions -- essential knowledge for system design rounds and demonstrating technical alignment.