Rejected

OpenAI Interview

Platform SWE

BehavioralMotivation

The round focused on the candidate's interest in infrastructure work.

The discussion centered on the candidate's motivation for joining OpenAI.

Why OpenAI and what kind of infrastructure work are you interested in?

Behavioral

System DesignCodingTesting

The task involved building a Webhook Delivery System with endpoint registration, event delivery, retries, and dead-letter queues.

The candidate utilized Python, FastAPI, and SQLite.

Code ReviewSystem DesignDebugging

The candidate walked through architectural decisions made during the take-home assignment.

The interviewer requested live extensions, specifically HMAC signature verification and event type filtering.

System DesignDatabase Internals

The candidate was tasked with designing an in-memory database supporting basic SQL operations.

The candidate opted for a column-oriented storage approach.

The interviewer pushed for optimization of JOIN operations, moving from nested loop joins to hash or sort-merge joins.

The discussion evolved into implementing ACID guarantees using Write-Ahead Logging (WAL) and Multi-Version Concurrency Control (MVCC).

BehavioralLeadership

The interview covered topics including technical disagreements, failed projects, and prioritization.

The candidate provided an example of pushing back on a technical decision due to ethical concerns regarding excessive user data logging.

Describe a time you pushed back on a technical decision for ethical reasons.

Do not rush the take-home assignment, as it is a critical component for advancing to the onsite.
Acknowledge that system design rounds are excellent opportunities to identify personal knowledge gaps.
Focus on gaining production-level distributed database experience to improve performance in system design interviews.