Network Engineer, ML Infrastructure (High-Speed Interconnects) mock interview

Что будет проверяться

This role designs, validates, and productizes the high-speed copper and optical interconnects (PAM4 SerDes, silicon photonics, optical transceivers) that wire together xAI's massive GPU training clusters, and collaborates with training teams to optimize network topology for AI workloads. It also drives failure analysis of interconnect hardware in production superclusters. A technical interview would probe high-speed interconnect and SerDes fundamentals, GPU cluster network topology (fat-tree/rail-optimized designs, RDMA/RoCE), and diagnosing performance degradation or link failures that bottleneck collective communication at scale.

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