1p3a Question · May 2026

2026 amazon robotics sde intern tech phone screen experience

SWE Phone Screen Intern
1 upvote

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感觉我的经历跟搜到的大部分都不一样,来发个面经攒人品 OA过后两轮VO各一小时 第一轮面试官是SDE,态度非常友好supportive 且chill,大概花了40分钟问BQ,后面20分钟问了开放式的coding,要我设计要怎么让机器人避开人类,要我写sudocode甚至设计架构(文字叙述)就行,然后有给我非常详细的指示,例如选sensor、选data structure 最后结束我问了很多行业及AI使用相关问题,他告诉我他们内部很多code都生成的,所以他们并不重视leetcode,也告诉我找工不要再疯狂刷leetcode了没有用,他们重视的是设计架构、写设计document然后给AI生成code 第二轮hiring manager,感觉他是挤出来的时间来面试(我的面试也因为他一直没时间所以被改了两次),深挖了我的一些简历项目,最后问了GenAI使用经验和我怎么确保它写出来的code是对的,问我有没有做unit test,大概半小时后就跟我说他已经搜集够多update然后就进入问问题环节,大概问了15分钟后旁边好像有人叫他,他就说要去开会然后结束面试 这轮面试官感觉个性是挺友...

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About Amazon Interview Reports

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

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

During Your Amazon 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 Amazon 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.