Google Software Engineer Internship interview questions
based on 819 ratings - Updated Jun 1, 2026
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64%
Applied online
Applied online
16%
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11%
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8%
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1%
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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 75% positive. To compare, the company-average is 64.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Software Engineer Internship roles take an average of 47 days to get hired, when considering 4 user submitted interviews for this role. To compare, the hiring process at Google overall takes an average of 42 days.
Common stages of the interview process at Google as a Software Engineer Internship according to 4 Glassdoor interviews include:
Presentation: 50%
Phone interview: 25%
One on one interview: 25%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Google (Taipei)
Interview
First, the HR will check your eligibility then arrange the interview meeting for you. There are two coding stages in the interview each with 45 minutes. There is only one interviewer for each stage of interview.
recently underwent a challenging internship interview at Google, an experience that was both intellectually demanding and professionally enlightening. The technical assessments were thorough and comprehensive, requiring a deep understanding of computer science principles and creative problem-solving under pressure. Although I did not secure the internship offer, I appreciate the opportunity I had to engage with Google's high standards and learn from their expert interviewers. This experience has motivated me to further enhance my skills and embrace the growth that comes from such rigorous evaluation, making the overall journey a valuable step in my career path.
Interview questions [1]
Question 1
The interview questions during the Google internship interview covered a broad spectrum, including algorithmic problem-solving, coding exercises, data structures, system design, behavioral inquiries, puzzle/logic challenges, and whiteboard coding scenarios. These questions assessed technical proficiency, creative thinking, and problem-solving abilities. Topics ranged from algorithms and data structures to real-world coding and architectural design, alongside discussions about previous projects. The comprehensive nature of the questions aimed to evaluate candidates' capacity to apply technical knowledge effectively and thrive in Google's dynamic environment.