Software Engineering Intern, 2027 (English)
At a glance
- Location
- Singapore, Singapore
- Work type
- Onsite
- Category
- Software Engineering
Google Software Engineering Internship in Singapore, 10-12 weeks, paid, focused on scalable distributed software systems and multiple projects across computer science domains. Includes executive speaker series, mentorship opportunities, and development of technical skills in areas like mobile, distributed systems, ML, NLP, networking, and security.
What they are looking for
Location: Singapore
Join us for a unique 10-12 week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.
Specific responsibilities vary by project area.
Minimum qualifications
Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, or a related technical field.
Enrolled in the penultimate academic year of a Bachelor’s or Master’s degree.
Experience with coding in C, C++, Java, JavaScript, Python, or another relevant programming language.
Experience working in Unix/Linux environments.
Experience with data structures, algorithms, and software design.
Ability to communicate in English fluently to participate in technical discussions.
Preferred qualifications
Ability to work on projects related to mobile development, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, or security software development.
Ability to showcase tech projects and participate in computer science-related extracurricular activities.
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