Software Engineering PhD Intern

About the Role

Join Google for a 12+ week paid internship designed for personal and professional development, offering an executive speaker series and community-building opportunities. The Software Engineering Internship program provides an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and collaborate on diverse projects with universal appeal.

As a Software Engineering Intern, you will be a key player on a dynamic team, driving the development of AI-integrated software and high-performance applications. Your primary objective will be to design, deploy, and maintain the end-to-end infrastructure that sustains Google’s large-scale systems. This unique opportunity allows you to contribute to Google’s core needs while evolving your technical expertise in a fast-paced, real-world environment.

Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact. Our products require handling information at a massive scale and extend beyond web search. We seek versatile engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile. Engineers at Google not only revolutionize search but routinely work on massive scalability and storage solutions, large-scale applications, and entirely new platforms for developers worldwide.

Responsibilities

• Foster a culture of productivity and innovation by actively supporting peers and managers.
• Collaborate across teams to ensure the continued success and evolution of AI-driven software and large-scale systems.
• Develop scalable engineering solutions for Google products.
• Analyze information and evaluate results to choose the best solutions for issues.
• Apply knowledge gained in computer science courses to real-world challenges.

Minimum Qualifications

• Currently pursuing a PhD program with a focus in software development or another technical related field.
• Experience with one or more general-purpose programming languages (e.g., Java, C/C++, Python, JavaScript, Go).
• Experience working in Unix/Linux environments.
• Experience with data structures, algorithms, and software design.

Preferred Qualifications

• Research experience in algorithms, architecture, artificial intelligence, compilers, database, data mining, distributed systems, machine learning, networking, or systems.
• Programming experience in one or more of the following: C/C++, C#, Java, JavaScript, Python, Objective C, Go or similar.
• Competencies in computer science, including data structures, algorithms, and software design.