Design Sora / Video Generation Scheduling System

System DesignOpenAILast reported August 2026High Frequency
Reported
20× across candidate reports
First seen
February 2026
Last reported
August 2026
Reported outcome
mixed

Problem Overview

Design OpenAI's Sora video generation system. A client submits a video generation request; the system must schedule and execute the job using GPU workers that call an external GPU pool — treat model inference as a black box (no ML details required). Key constraints: (1) one worker handles exactly one…

  • 10 candidate-reported follow-ups — the exact probes interviewers asked, with the trigger for each
  • The rest of the problem statement — full requirements, constraints, and edge cases
  • Approach and trade-offs — what passing candidates did, and the mistakes that sink people
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Verified Source
Every question is reconstructed from multiple independent candidate reports. Verbatim follow-ups, not invented ones.
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Technical claims, formulas, and scale numbers are reviewed against primary sources.
Interviewer Follow-ups
The exact follow-ups reported by candidates, with the trigger that prompts each one — plus the mistakes that sink people.
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