About the job

Join us for a 10–12 week Summer Internship Program starting in May/June 2027. This program is designed to accelerate your personal and professional growth while building a lasting community. 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 is to design, deploy, and maintain the end-to-end infrastructure that sustains our large-scale systems. This is a unique opportunity to contribute to Google’s core needs while evolving your technical expertise in a fast-paced, real-world environment.

Google's Software Engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at a massive scale, and extend well beyond web search. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

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.

Responsibilities

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