A Recently Departed OpenAI Software Engineer Candidate Shares Complete Interview Process on Reddit, Consisting of Five to Six Rounds
OpenAI Interview Adds AI Programming Command Round
A recently departed OpenAI software engineer candidate shared the complete interview process on Reddit, consisting of five to six rounds, focusing on distributed systems capabilities rather than traditional algorithm questions.
The process includes a recruitment call discussing AI judgment, two technical interviews (versioned key-value storage and fault-tolerant task scheduler), a 48-hour take-home distributed webhook delivery project, and four on-site rounds of programming, system design, and behavioral interviews.
The newly added beta phase Agentic Coding Round requires solving large codebase problems using an AI Coding Agent, indicating that proficiency in using AI tools for coding is becoming a fundamental skill.
Source: Public Information
ABAB AI Insight
OpenAI's interview process has long deviated from the LeetCode path, emphasizing production-level distributed systems and practical engineering decisions, with candidates required to explain each design choice. The behavioral interview focuses on cross-team technical leadership rather than soft skill clichés.
In terms of capital and talent pathways, the company has introduced the Agentic Coding test, shifting AI collaboration ability from a bonus to a screening criterion, reflecting that internal engineering has become highly reliant on coding agents, with funding and resources accelerating towards engineers capable of commanding AI to complete complex tasks.
Similar cases can be seen in AI companies like Anthropic, where interviews also strengthen the use of actual systems and tools, paralleling the early FAANG shift from algorithms to system design; current AI engineering recruitment is transitioning from pure coding ability to human-machine collaboration capability.
This essentially represents a technological replacement: traditional handwritten coding assessments are partially replaced by the ability to command AI tools, as the mechanism relies on the maturity of large models making the decomposition of large problems and agent execution core productivity.
ABAB News · Cognitive Laws
Being able to command AI is the new fundamental skill
Distributed capabilities outweigh algorithm practice
Interview evolution follows tool evolution