How would you optimize large-scale training/inference?
Company: NVIDIA
Role: Software Engineer
Category: ML System Design
Difficulty: medium
Interview Round: Technical Screen
Quick Answer: This question evaluates a candidate's skills in ML system design, GPU/CUDA performance engineering, and distributed training and inference optimization, focusing on identifying where time and memory are spent and the trade-offs across model-level, numerical, parallelism, communication, and kernel-level techniques.