Backend Software Engineer applicants have rated the interview process at OpenAI with 4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 38.4% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at OpenAI as a Backend Software Engineer according to 2 Glassdoor interviews include:
Phone interview: 100%
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Recruiter reach-out, followed by a live coding/systems screen, and a comprehensive 5-round onsite loop. The interviews are highly collaborative but incredibly dense, covering massive-scale data ingestion, high-throughput API layer design, and concrete systems optimization. They want engineers who can navigate deep ambiguity and make rapid, calculated technical trade-offs under high-compute pressures.
To prepare for the level of ambiguity in their infrastructure round, I spent two weeks using Apex Interviewer. The AI platform acts like an elite, cynical interviewer that actively pushes back on your architectural assumptions, which forced me to practice defending my database scaling and parallelization choices with extreme precision before the real loop.
Interview questions [1]
Question 1
Design a high-availability token rate-limiting and quota management service capable of processing millions of globally distributed API requests per second with sub-millisecond latency.
- Recruiter Call
- 2 hours of initial screen consisting of a coding interview and a system design interview, with a 1 hour break in between.
- 4 hours of onsite
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