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Google Software Engineering Intern Brazil, Minas Gerais, Belo Horizonte 840482484
04.04.2024
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Info Please complete your application before April 15th, 2024. This process will be for Internship cohorts starting in August 2024 (targeting graduation in December 2024) and February 2025 (targeting graduation in July 2025). This is a 14 week internship. Please submit your resume in English - we can only consider applications submitted in this language.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Belo Horizonte, State of Minas Gerais, Brazil; São Paulo, State of São Paulo, Brazil.Please complete your application before April 15th, 2024. This process will be for Internship cohorts starting in August 2024 (targeting graduation in December 2024) and February 2025 (targeting graduation in July 2025). This is a 14 week internship.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
- Due to local compliance requirements, applicants must be currently pursuing a Bachelor's in Computer Science or related technical field at a university in Brazil with an expected graduation date in December 2024 or July 2025.
- Experience writing code fixes and programming in one or more of the following languages: C, C++, Java, JavaScript, or Python.
- Available to work in hybrid model between August 2024 and November 2024 in the Belo Horizonte or São Paulo offices.
Preferred qualifications:
- Available to start an internship for 30h/week in August 2024 or February 2025 (depending on expected Graduation date). The internship ends after 3 months.
- Experience in tech internships or working in computer science, with competencies in data structures, algorithms, and software design (e.g., research assistant, teaching assistant, personal projects, etc.).
- Ability to manipulate code to improve system availability and latency and optimize code for stability, functionality and scalability for a segment of Google's infrastructure, service area, or within a technology domain (e.g., crawling, search, troubleshooting).
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