Engineering Internship Interview Experience - Brazil
January 1, 2021
Positive ExperienceGot Offer
Process
It was a good and fair interview. It was pretty nice to see how the interview was progressing, and in the end, we had a nice chat about the future of what I am going to do.
Questions
What are DRC, LVS, and PEX?
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Interview Statistics
The following metrics were computed from 1 interview experience for the Google Engineering Internship role in Brazil.
Success Rate
100%
Pass Rate
Google's interview process for their Engineering Internship roles in Brazil is incredibly easy as the vast majority of engineers get an offer after going through it.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Google's Engineering Internship interview process in Brazil.
Google Work Experiences
5.0
Machine Learning Engineering Internship
Engineering Internship • Former Employee
Dallas, Texas, United States
December 26, 2024
Pros: Collaborative and innovative work environment with world-class talent.
Opportunity to work on cutting-edge machine learning projects.
Great mentorship and support for interns, fostering personal and professional growth.
Access to incredible resources, tools, and infrastructure.
Work-life balance is respected, with a focus on employee well-being.
Cons: Large organizational structure can make decision-making processes slower.
Onboarding and navigating the vast ecosystem of tools can be overwhelming initially.
Some teams may have limited opportunities for interns to contribute to critical projects.
Communication across different teams and departments can sometimes be a challenge.
5.0
Evaluation
Tester • Current Employee
São Gonçalo, Rio de Janeiro, Brazil
November 13, 2025
Pros: Communication, benefits, environment, space, and bosses.
Cons: Nothing to comment on that at the moment.
5.0
Good company.
Software Developer • Current Employee
Rio de Janeiro, Rio de Janeiro, Brazil
November 4, 2025
Pros: - Good benefits
- Good salary
Cons: Delivery pressure and tight deadlines.
- 5.0Machine Learning Engineering InternshipEngineering Internship • Former EmployeeDallas, Texas, United StatesDecember 26, 2024Pros: Collaborative and innovative work environment with world-class talent. Opportunity to work on cutting-edge machine learning projects. Great mentorship and support for interns, fostering personal and professional growth. Access to incredible resources, tools, and infrastructure. Work-life balance is respected, with a focus on employee well-being.Cons: Large organizational structure can make decision-making processes slower. Onboarding and navigating the vast ecosystem of tools can be overwhelming initially. Some teams may have limited opportunities for interns to contribute to critical projects. Communication across different teams and departments can sometimes be a challenge.
- 5.0EvaluationTester • Current EmployeeSão Gonçalo, Rio de Janeiro, BrazilNovember 13, 2025Pros: Communication, benefits, environment, space, and bosses.Cons: Nothing to comment on that at the moment.
- 5.0Good company.Software Developer • Current EmployeeRio de Janeiro, Rio de Janeiro, BrazilNovember 4, 2025Pros: - Good benefits - Good salaryCons: Delivery pressure and tight deadlines.
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