Google Software Engineer Internship interview questions
based on 820 ratings - Updated Jun 18, 2026
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Software Engineer Internship applicants have rated the interview process at Google with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 61% positive. This is according to Glassdoor user ratings.
Candidates applying for Software Engineer Internship roles take an average of 105 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Google overall takes an average of 44 days.
Common stages of the interview process at Google as a Software Engineer Internship according to 3 Glassdoor interviews include:
Skills test: 50%
Phone interview: 25%
One on one interview: 25%
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Hard, starts with culture interview and then hard leetcode qns. Would recco doing hackerrank before hand to prepare. Harmonious interview that was quite friendly. I think i am writing enough
I applied through other source. The process took 4 weeks. I interviewed at Google (San Francisco, CA) in Oct 2023
Interview
The first few minutes I chatted with my interviewer and then he told me the question and told me to solve it in a Google doc using Python. He didn't care much for correct syntax but rather correct logic when implementing the solution.
Interview questions [1]
Question 1
The question was to implement a trie to count quickly the number of words with a specific prefix.
I applied through an employee referral. The process took 2 weeks. I interviewed at Google in Nov 2023
Interview
Referred by friend and contacted by recruiter. The whole process included two coding interview. Pass the first and not for the second, then given an extra coding interview. Overall experience is good.
Interview questions [1]
Question 1
First round is about splitting bunch of nodes into a binary tree, which is easy. Follow-up is splitting into a tree where each node has N children.
Second round is a task scheduling problem which gives you a constant timeout and a series of [task ID, Starting time], more like streaming mode, then return if the a task is timeout at certain timestamp. Did not really get the idea but can be solved using dictionary.