[D] Interview experience for LLM inference systems position

An engineer preparing for a systems role on an LLM inference team has detailed the extreme interview requirements. The coding test demands building core components like SelfAttention, Transformer blocks, and BPE tokenizers from scratch. Other rounds focus on deep system design and optimization to eliminate inference bottlenecks. This reveals the intense, low-level expertise now required to work on cutting-edge AI infrastructure at leading labs, far beyond standard software engineering.