Design a Text-to-Video Generation Platform (Sora-style)

Quick Overview

This ML system design question evaluates a candidate's ability to architect the infrastructure around a large generative video model, including asynchronous job orchestration, GPU fleet scheduling, and content safety pipelines. It tests practical application of distributed systems concepts such as durable queuing, idempotency, and utilization-aware autoscaling for expensive compute resources, a common theme in senior ML infrastructure interviews.

Design a Text-to-Video Generation Platform (Sora-style)

Company: OpenAI

Role: Software Engineer

Category: ML System Design

Difficulty: hard

Interview Round: Onsite

Quick Answer: This ML system design question evaluates a candidate's ability to architect the infrastructure around a large generative video model, including asynchronous job orchestration, GPU fleet scheduling, and content safety pipelines. It tests practical application of distributed systems concepts such as durable queuing, idempotency, and utilization-aware autoscaling for expensive compute resources, a common theme in senior ML infrastructure interviews.

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Jun 14, 2026, 12:00 AM
hardSoftware EngineerOnsiteML System Design
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