Ace Your LLM Inference Interview: A Systems Engineer's Journey

infrastructure #llm 📝 Blog|Analyzed: Feb 16, 2026 03:47•

Published: Feb 16, 2026 01:04

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1 min read

•r/MachineLearning

Analysis

This post highlights the rigorous preparation required for a systems engineering role focused on the exciting field of Large Language Model (LLM) inference. The commitment to mastering core concepts like SelfAttention and Transformer blocks shows a dedication to building efficient and optimized Generative AI systems. This intense preparation is a testament to the growing importance of LLM optimization in the AI industry.

Key Takeaways

•The applicant is preparing for a systems engineering role focused on LLM inference.
•Preparation includes coding from scratch essential LLM components.
•The interview will cover coding, design, and inference optimization.

Reference / Citation

"I have been told I will have an LLM inference related coding round, a design round and an inference optimization related discussion."

R

r/MachineLearningFeb 16, 2026 01:04

* Cited for critical analysis under Article 32.

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Source: r/MachineLearning