OpenAI interview guide

OpenAI software engineer interview: process, questions and prep

OpenAI interviews feel closer to real work than to puzzle solving. Coding rounds ask you to build something that works, and one round digs deep into a project you led. Here is what candidates commonly report and how to prepare.

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The process

The OpenAI interview process

What candidates commonly report. Teams and levels differ, so ask your recruiter what your loop looks like.

  1. Recruiter call

    A short call about your background, why you want to work at OpenAI and where you think AI is going. Some candidates talk with the hiring manager first.

  2. Technical screen

    One or two calls with engineers. Candidates report practical coding, like building a small system step by step, and sometimes a short design question.

  3. Onsite

    Usually four or five interviews: coding, system design, a behavioral round and a round with people from other teams.

  4. Project deep dive

    You walk through one project you built. Interviewers ask why it existed, what you did yourself, what went wrong and what it changed.

Questions

OpenAI behavioral interview questions

Questions candidates report from OpenAI behavioral rounds, and what a strong answer shows.

  1. Motivation

    Why OpenAI? What does a typical day look like for you as an engineer, and how do you think about safe AI?

    A strong answer shows a specific reason tied to OpenAI's products, mission or way of working.

  2. Ownership

    Walk me through a project you're proud of. Why did it exist, what did you do versus the team, and what was the impact?

    A strong answer shows clear personal ownership.

  3. Honesty

    Tell me about a time you made a mistake.

    A strong answer shows owning it.

  4. Conflict

    Tell me about a disagreement with your manager.

    A strong answer shows raising it with reasons.

  5. Customer

    Your largest customer wants a feature that isn't on the roadmap. What do you do?

    A strong answer shows understanding the real need.

  6. Cross-functional

    Tell me about working with another team, like legal, when the dependency wasn't in your control.

    A strong answer shows understanding their constraints.

  7. Alignment

    Tell me about getting stakeholders with conflicting priorities to agree.

    A strong answer shows understanding each priority.

  8. Judgment

    Tell me about a time you pushed back on a customer request.

    A strong answer shows a clear reason.

Questions

OpenAI coding interview questions

Coding problems candidates report from OpenAI interviews.

  1. Medium

    LRU Cache

    Caching model responses, eviction order

  2. Medium

    Asteroid Collision

    Stack of survivors moving right

  3. Medium

    Simplify Path

    Directory names on a stack

  4. Medium

    Time Based Key-Value Store

    Binary search over timestamps

  5. Medium

    Trapping Rain Water

    Two pointers with running maxima

  6. Medium

    Rotting Oranges

    Multi-source breadth-first search

  7. Medium

    Web Crawler

    Breadth-first crawl, one host

  8. Medium

    Balance at Any Timestamp

    Sort once, then binary search the prefix

  9. Hard

    Expiring Credits

    Spend what expires first, with a heap

  10. Medium

    Count Matching Regions

    Label components, then compare

  11. Medium

    Ranges Without Forbidden Pairs

    The earliest start for each end

  12. Medium

    Resumable Iterator

    An iterator whose state you can save and restore

How to prepare

How to prepare for OpenAI

  • Practice building small working systems under time, like an in-memory database or a rate limiter, not only short puzzles.
  • Test your code as you go and say which edge cases you checked.
  • Pick one project you know end to end and be ready for an hour of questions on it.
  • Have a real view on the mission and on building AI safely. Expect to be asked about both.

Questions.

How many rounds is the OpenAI software engineer interview?

Candidates usually report a recruiter call, one or two technical screens, then an onsite of four or five interviews. The steps differ by team and level.

What coding questions does OpenAI ask?

Candidates report practical tasks more than classic puzzles: build a small system, then extend it as the rules change. Clean code, tests and edge cases count.

What is the OpenAI project deep dive?

A round about one project from your past. You explain why it mattered, what you did yourself, the hard parts and the result. Polished short stories are not enough, since the follow-ups go deep.

Can I practice a OpenAI mock interview?

Yes. Orin runs OpenAI-style mock interviews by voice, with OpenAI’s reported questions asked first and follow-ups in its style. Company interviews are on the Pro and Max plans. Your first interview is free.

How does an Orin mock interview work?

You talk with Orin by voice, like a video call. It asks questions, listens and asks follow-ups based on what you said. Coding happens in a live editor and design on a live whiteboard. After the interview you get a report with quotes from your answers, what cost you points and what to practice next.

Practice your OpenAI interview.

Talk through OpenAI-style questions with follow-ups, then see exactly what to fix. First interview free.

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