Software Engineering, Site Reliability Engineering PhD Intern, 2025
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AI Summary ✨
Requirements:
Currently enrolled in a PhD degree in Computer Science or a related technical field in the EMEA region, and in your penultimate/final year of education.
Experience working with data structures or algorithms during coursework/projects, research, internships, or practical experience in school or work (e.g., open-source coding).
Coding experience in one of the following programming languages: Python, C, C++, Java, JavaScript.
Nice to haves:
Ability to complete a 13-17 week full-time internship in the internship location between May - October 2025.
Relevant practical or internship experience with programming in either: C++, Java, Python, or Go.
Relevant practical or internship experience with web application development, Unix/Linux, mobile application development, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, and/or security software development.
Interest and ability to learn other coding languages as needed.
What you'll be doing:
Research, conceive and develop software applications to extend and improve on Google's product offering.
Contribute to a wide variety of projects using natural language processing, artificial intelligence, data compression, machine learning, and search technologies.
Collaborate on scalability issues involving access to data and information.
Utilise exposure to large-scale production software troubleshooting.
Help maintain mission critical services.
Perks and benefits:
Internship opportunity at Google.
Work on critical projects impacting Google's needs.
Experience in software engineering or site reliability engineering.
Hands-on coding experience with a variety of languages.