OpenAI Software Engineer Interview Guide

OpenAI is seeking engineers to help shape the future. Show them you're someone who can tackle challenging problems, work independently, and excel in a high-intensity environment with minimal bureaucracy.

In short,

• Focus on practical system design problems that apply to the day-to-day work at OpenAI.
• Aim to pass two gates in the coding round—don't stress about perfection.
• Emphasize your ability to work autonomously with minimal process, demonstrating a comfort level in a "weak team concept" environment.
• Be ready for direct, potentially challenging questions about your culture fit.

What does an OpenAI Software Engineer do?

OpenAI operates with a high-intensity culture that's still being defined as the company experiences hyper-growth. OpenAI follows a flat organizational structure with minimal process, similar to Netflix's culture model. Instead of teams getting assigned work through heavy processes (like at Google), OpenAI emphasizes:

• People over process (they reduce the need for process and put the burden on the individual)
• Individual responsibility and ownership
• Clearing blockers rather than creating a process
• Unbounded interpersonal work over bureaucracy
• Letting talented individuals "cook"

The reality of working at OpenAI:

• Long working hours
• Undisputed champ of compensation, benefits, perks, and social capital
• Less documented culture than established companies
• Fast-paced, rapidly evolving environment

Compensation

Here are the total compensation averages per level:

• L2 (Entry-level) = $242K
• L3 = $394K
• L4 = $569K
• L5 = $1.11M
• L6 = $1.3M

Before you apply

• Research OpenAI's actual products and systems
• Practice practical coding problems at around a medium difficulty, and be productive enough to move through 2-4 timed gates in 60 minutes.
• Consider practical system design challenges related to AI/ML infrastructure.
• Practice behavioral answers that demonstrate your ability to succeed with minimal oversight, working on novel problems, and collaborating with similar technologies to those used in their stack.

Interview process

A company known for being chaotic is likely to have some surprises from one interview loop to the next. However, here is how a typical loop can look at OpenAI. It typically involves 5-6 conversations, such as:

1. Coding screen
2. (Optional) Hiring manager chat
3. Onsite interview with four rounds (coding, behavioral, system design, and a presentation)

System design

Unlike many tech companies that ask you to design systems you'll never actually work on (think "design Netflix" at a non-video company), OpenAI takes a refreshingly practical approach. They ask questions directly related to the work you'd be doing if hired.

Sample question:

• You might be asked to design an internal monitoring system that tracks token usage across multiple companies. Your system needs to account for massive discrepancies in usage patterns between companies and provide solutions for managing these differences.

Coding

OpenAI's coding assessment is structured uniquely with four progressive gates, similar to Triple Byte's practical coding exam from a few years ago.

What You Need to Know:

• Each problem has four gates that increase in difficulty.
• Pass 2 gates = Pass the round (this is your target)
• Pass all four gates = You're in a tiny percentage of candidates.
• Problems are bespoke (you won't find them on LeetCode)
• Difficulty level: Most gates are around LeetCode medium; the difficulty escalates as the gates go on

The key challenge here isn't just difficulty but the uniqueness of the problems. You can't simply grind LeetCode "hards" and expect to cruise through. Focus on building strong problem-solving fundamentals and the ability to adapt to novel problems.

Behavioral

The behavioral interview at OpenAI requires specific preparation around their culture and values.

Sample questions:

• "Why OpenAI?"
• "Why not OpenAI?"
• Conflict scenarios, especially competing priorities between teams or dealing with pushback from higher-level, intelligent, busy people.

Your answers should emphasize:

• The weak team concept: Show you can own work independently and succeed in an environment with minimal process
• Scale: Demonstrate experience with systems at scale
• Novel problems: Highlight greenfield work and unique challenges
• Complexity: Show you can handle sophisticated technical problems
• Large scope: Match your project scope to the level you're targeting

Presentation

You will be asked to give a presentation on a project you've completed. Expect to prepare a presentation that will enable you to engage in a thoughtful conversation with a peer during a 45-minute round.

We recommend that you choose a project that primarily focuses on demonstrating your ability to work in a "weak team concept" environment. Other considerations to optimize for:

• Recent projects are better
• Greenfield works on a novel problem

FAQs

How should I prepare for an OpenAI Software Engineer interview?

• Get a referral (ideally from someone who's actually worked with you). If you don't have a referral, stand out with a strong portfolio or targeted outreach. Simply put, tell a hiring manager (for your role) a compelling story in ~150 words, and if you're a junior, include a visual demo of a project you've built.
• Practice practical coding and system design problems
• For behavioral, practice illustrating your success in environments which include: a) minimal oversight to get things done ("people over process"), b) greenfield work on novel problems, c) similar technologies to what they use in their stack

How much do OpenAI Software Engineers earn?

According to levels.fyi, here are the total compensation averages per level:

• L2 (Entry Level) = $242K
• L3 = $394K
• L4 = $569K
• L5 = $1.11M
• L6 = $1.3M

How long is the interview process?

A candidate can complete the interview process in a month. OpenAI typically moves very quickly. The process can be disorganized. Candidates report long wait times and being left in the dark. Don't take silence personally—it's a natural part of their growth as a rapidly scaling company.