Land an Up to $1.3M OpenAI SWE Offer | GPU Credit Calculator Interview Problem Walkthrough (Part 1)

In this OpenAI coding interview walkthrough, I break down the GPU Credit Calculator problem — a real question from OpenAI's SWE coding rounds for roles paying up to $1.3M total compensation. This is Part 1 where I explain the key mental models and non-intuitive concepts you need to understand before attempting the solution. Instead of jumping straight to code, I walk through why the obvious approaches fail, introduce the time-based event replay pattern, and explain the critical insight about splitting operations into multiple timeline events.

This problem tests your ability to handle out-of-order operations, manage temporal constraints, and design efficient data structures and more.In Part 2 we'll go over the full implementation, subscribed to stay tuned


Resources:

GPU Credit Calculator Problem:
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OpenAI SWE Interview Course:
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00:00:00 Problem Description
00:10:39 Interface Preview
00:11:59 Key Concept 1: Meaning of Usable Credit
00:12:47 Key Concept 2: Expiration Behaviour at Boundaries
00:15:51 Key Concept 3: Out-of-Order Arrival of Calls
00:17:32 Key Concept 4: Event Types
00:19:07 Key Concept 5: Event Priorities
00:21:18 Key Concept 6: Earliest Expiry Credit Usage Semantics
00:26:35 Key Concept 7: Coditioning Coaching & Mock Interviews



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