1p3a Experience · May 2026

nvidia chip testing role onsite interview experience and process

hwe Onsite newgrad

Interview Experience

面的 NVIDIA 芯片测试岗,社招。HR 主动找的我,效率很高,三天就约了一面。整个流程线上线下一共三轮,下面先把已经面完的前两轮记录一下。 第一轮(约 2 小时) 先笔试,两道题,Shell 和 Python 各一道,在 Linux 环境里远程做。好消息是可以查命令,不用背;题目是英文,但不难理解。 笔试结束后马上技术面: 让我把刚才两道题的解题思路讲一遍。 顺着简历深挖,Shell、Python、C++ 都问了,全部围绕岗位相关的内容,没有刻意为难。 第二轮(约 1 小时) 全程聊项目。面试官会追着做过的项目问到底: 你负责哪一块? 用了什么方案? 最后效果怎么样? 有没有考虑成本? 项目有什么短板? 怎么优化?核心就是看你是不是真的干过、真的懂,套话糊弄不过去。 总结 整体节奏很顺,HR 推进效率高。 一面侧重基础语言能力(Shell/Python/C++),笔试可查命令,难度友好。 二面侧重项目深度,要把方案、效果、成本、短板和优化都讲清楚。 整体感觉不算卷,面试官也比较友好。第三轮还没面,后续再补。

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About NVIDIA Interview Reports

This question was reported by a candidate who interviewed at NVIDIA. LeakCode aggregates interview reports from 10+ sources, including 1Point3Acres, Glassdoor, LeetCode Discuss, Blind, Reddit, Indeed, and Nowcoder. Each report is translated where necessary, deduplicated against existing entries, and tagged by company, role, round type, and reporting date.

Use this question as one calibration data point, not a memorization target. Companies typically rotate their question pools every 2-4 months; the exact wording of a 2024 question may differ from what you encounter today. The underlying pattern, difficulty level, and follow-up depth at NVIDIA are the higher-signal extractions to take from this report.

For broader preparation context, the NVIDIA interview process typically includes a recruiter screen, one or two technical phone screens, and a 4-5 round on-site loop covering coding, system design (at L4+ levels), and behavioral. Reports tagged on LeakCode show the round-by-round distribution and typical difficulty calibration. To browse questions filtered by round type and seniority, use the company hub linked above.

How To Practice This Type of Question

Solve similar problems on LeetCode under timed conditions (25-35 minutes per medium difficulty). The goal is pattern recognition: recognize the underlying technique (sliding window, two-pointer, BFS, memoized recursion, etc.) within 60-90 seconds of reading. Strong candidates verbalize their hypothesis out loud before coding, then iterate based on feedback. Weak candidates dive into implementation immediately, lose time on the wrong approach, and run out of time for follow-ups.

Companies update their question pools every 2-4 months. The exact wording of any given question may have been retired by the time you interview. Focus your prep on the pattern, not the specific problem. The patterns that appear in NVIDIA reports consistently are the ones worth investing in; one-off niche problems are not.

During Your NVIDIA Round

Apply the standard interview round template: clarify requirements (2-3 minutes), state your approach out loud and confirm direction with the interviewer (3-5 minutes), code with narration (15-25 minutes), test with concrete examples including edge cases (5 minutes), discuss optimization or trade-offs if time permits (5 minutes). This template is universally accepted across FAANG and adjacent companies; deviating from it produces weaker interviewer feedback signal.

The single most predictive failure mode in NVIDIA reports tagged "no hire": not asking clarifying questions. Interviewers are explicitly trained to weight this. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's written notes.