Embark on a transformative 12+ week paid internship experience designed for personal and professional growth, featuring an executive speaker series and community-building activities. This Software Engineering Internship offers a dynamic platform to tackle complex computer science challenges, build robust, scalable distributed software systems, and contribute to impactful projects with broad appeal.

Our recruitment process will match your profile to the most suitable opportunities. As a Software Engineering Intern, you will be instrumental in addressing critical Google needs, working on specific projects that drive innovation and development within the company.

This role places you at the forefront of developing AI-integrated software and high-performance applications. Your key responsibility will involve designing, deploying, and maintaining the foundational infrastructure that supports our extensive large-scale systems. This is an unparalleled chance to contribute directly to Google's core objectives while enhancing your technical expertise in a fast-paced, real-world setting.

Foster a collaborative and innovative environment by actively supporting colleagues and management. Engage in cross-team collaboration to ensure the ongoing success and advancement of AI-driven software and the large-scale systems that shape our technological landscape.

Develop efficient, scalable engineering solutions for diverse Google products. Analyze complex information and evaluate findings to identify optimal solutions for effectively resolving challenges.

Apply theoretical knowledge acquired in computer science coursework to practical, real-world problems.

Currently pursuing a PhD program with a specialization in software development or a closely related technical field.

Demonstrated experience with at least one general-purpose programming language, such as Java, C/C++, Python, JavaScript, or Go.

Proficiency in working within Unix/Linux environments.

Solid understanding and experience with data structures, algorithms, and fundamental software design principles.

Preferred qualifications include research experience in areas like algorithms, architecture, artificial intelligence, compilers, databases, data mining, distributed systems, machine learning, networking, or systems. Additionally, programming experience in languages such as C/C++, C#, Java, JavaScript, Python, Objective-C, or Go is advantageous. Expertise in computer science, with strong competencies in data structures, algorithms, and software design, is highly valued.