OpenAI

OpenAI Software Engineer Interview Guide

How the OpenAI interview loop works, what they ask, and how to prepare

Updated Aug 1, 2026

OpenAI's software-engineer loop runs in stages: a recruiter screen, two technical screens (coding and system design, often back-to-back), and a virtual onsite of four interviews. Coding screens use CoderPad; system design uses Excalidraw. Most candidates move from first call to decision in three to four weeks, though it can stretch to six to eight.

The system-design rounds and the technical deep dive presentation carry the most weight for level determination, since they directly assess your ability to architect complex systems and communicate technical decisions. The deep dive requires a prepared 4-8 slide presentation and deserves particular preparation. The behavioral round evaluates mission alignment around AI safety and responsible development. There is no separate hiring committee; interviewers debrief and the hiring team reviews the full profile. Downleveling is common and worth expecting, often one and sometimes two levels below current title. There is no formal interviewer question bank, so question style varies across interviewers. AI use is strictly prohibited in all rounds.

The interview loop

  1. Recruiter screen - 30-45 min on background, motivation, and your understanding of the mission; non-technical.
  2. Coding screen - ~60 min on CoderPad. 2-4 questions, a mix of LeetCode-style and practical. Python recommended for speed. No AI agents.
  3. System-design screen - ~60 min, often scheduled back-to-back with the coding screen. Uses Excalidraw. Backend-leaning; scalability, latency, performance, reliability.
  4. Onsite loop (final) - 4 interviews of ~60 min each, can be split across days:
    • Coding (second round) - Different questions, same CoderPad format. 2-4 questions, mix of LeetCode-style and practical.
    • System design (second round) - Different questions, same Excalidraw format. Real-world service architecture.
    • Behavioral - 60 min with a manager. "Why OpenAI" comes up here. Working with difficult stakeholders, getting buy-in, cross-functional collaboration.
    • Technical deep dive - Prepare a 4-8 slide presentation (10-15 min) on a recent project, then deep technical discussion on decisions, trade-offs, and your specific contribution. Used for leveling.

What they look for

  • Production-minded code: reliability, testing, and clarity over clever one-liners
  • Speed in the coding screen. Python recommended to reach 3-4 questions per session
  • Mission understanding and pragmatic engineering judgment
  • A well-structured project deep-dive presentation with clear decisions and measurable outcomes

How to prepare

  • For the coding screen, get a correct baseline working fast, then optimize. Speed matters: 2-4 questions per 60 min. Practice on LeetCode; questions lean that direction.
  • Prepare a 4-8 slide presentation for the technical deep dive. Not a sales deck, a scaffold for the technical conversation. 10-15 min to present, then they go deep.
  • Have a strong "why OpenAI" answer ready for the behavioral round. It specifically comes up with the manager.
  • AI is strictly prohibited in all rounds. No interviewer question bank means question style varies widely; be ready for anything.

Asked at OpenAI

22 questions tagged for OpenAI interviews.

Sources

See every company's references on the interview-process sources page.