OpenAI 软件工程师 面试流程
岗位方向: backend
OpenAI 的面试流程极具技术挑战性且聚焦使命，旨在构建安全且有益的通用人工智能 (AGI)。与标准的 FAANG 面试环路不同，OpenAI 通常关注实际工程任务，如调试、重构和设计大规模模型服务系统。流程进展迅速且对认知要求极高，寻找能够应对 AI 基础设施、分布式训练和全球规模高性能推理等独特挑战的工程师。
OpenAI的软件工程师面试共4轮，以下是每轮面试的详细流程和准备建议。
- 第1轮 (30 minutes): 与招聘人员或招聘经理对话，讨论背景、目标以及与 OpenAI 使命的一致性。
面试亮点: Practical over LeetCode: focus on debugging, refactoring, and code quality、AI Infrastructure focus: serving LLMs at scale and distributed training、Cognitively demanding: multiple technical sessions with many follow-up questions、Strong mission alignment: evaluating dedication to building safe AGI、Fast-moving: typically finishes the entire process within a month
标签: OpenAI, AGI, AI Infrastructure, LLM Serving, Distributed Training, High Performance
