1p3a Question · May 2026

google onsite interview rejection for software engineer: unusual reason explained

SWE Onsite newgrad
2 upvotes 20 replies

Question Details

我4月23号面的,地点在纽约,面试官是两个白人 第一轮: calculate math expression string Example: add(1, sub(1, 0)) return 2 觉得主要是这一题把我拒了我用了i iterative, 没用split的方法。 不过我也有问问题dryrun 改干的都干面试官也和我说他也会这么做。 个人觉得hire 第二轮: detonate bomb 变数题 这一轮可以说秒杀吧毕竟刷过很多次 面试官说我应该稳了 个人觉得strong hire 结果还是被拒了,recruiter说我behaviorally excellent,great at data structure and algorithms. Issues with minor syntax issue, out of bound error(应该是第一轮)。我觉得问题不大啊把我惨拒了也不给加一轮面试。hc你还是人吗😭😭

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About Google Interview Reports

This question was reported by a candidate who interviewed at Google. 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 Google are the higher-signal extractions to take from this report.

For broader preparation context, the Google 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 Google reports consistently are the ones worth investing in; one-off niche problems are not.

During Your Google 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 Google 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.