ML Infra Interview Themes

Many ML infrastructure interviews test:

• your understanding of distributed systems
• your ability to reason about performance and reliability
• your familiarity with GPU and networking constraints

Expect questions around:

• scaling a training job from 1 to N GPUs
• debugging slow training or bad inference p99
• designing a simple GPU cluster for a given workload
• trade‑offs between TCP and RDMA / Infiniband / RoCE

Having solid mental models from the rest of this guide will help you:

• structure your answers
• ask good clarifying questions
• show that you understand where real‑world bottlenecks come from