03Why do you want to work in AI infrastructure, and why now?▼easy★ EssentialNewOpenAIAnthropicNVIDIA4 repliesunlockedThe answer that fails is a compliment to the company. The answer that lands is a thesis about where the constraint sits, tied to something you have actually done, and it works whether you are coming from distributed systems, kernels, hardware or SRE.Open full answer →
13How do you keep current in a field that changes every few months?▼easyNewNVIDIAAnthropicCoreWeave4 replies○ sign inNaming three newsletters answers nothing. The answer that works has a filter, a source of ground truth that is not a blog post, and one thing you reproduced yourself, because that is the only evidence that you learn rather than accumulate.Open full answer →
24What actually changes between senior and staff engineer in infrastructure?▼hardNewMetaGoogleMicrosoft4 replies◆ premiumNot depth, which is where most people push and where the returns flatten. What changes is the size of the problem you are handed, how ambiguous it is when you get it, and whether things happen because you asked rather than because you built them.Open full answer →
25Why would you leave a hyperscaler for a GPU cloud, or a GPU cloud for a hyperscaler?▼mediumNewCoreWeaveGoogleAWS4 replies◆ premiumThe interviewer is checking whether you know what you are trading, because both directions are reasonable and both have a version that ends badly. What each environment actually gives you, and the answer that works when the real reason is compensation.Open full answer →
30Where do you think AI infrastructure is going over the next five years?▼expert★ EssentialNewAnthropicOpenAINVIDIA4 replies◆ premiumFour claims that are defensible from arithmetic available today, each with the counterargument that could sink it, and what each one implies about the work. Dated to 2026, because a thesis with no date is not a prediction.Open full answer →