Embark on a transformative 12+ week paid Software Engineering PhD Internship, designed for personal and professional growth. This program offers an executive speaker series and fosters community building. You'll tackle complex computer science challenges, develop scalable distributed software systems, and contribute to diverse projects. Our recruitment process will match your profile to the ideal role within Google.

As an intern, you will drive the development of AI-integrated software and high-performance applications, owning the end-to-end infrastructure for large-scale systems. This is an unparalleled opportunity to contribute to Google's core initiatives while sharpening your technical skills in a dynamic, real-world setting.

Google engineers pioneer next-generation technologies that connect billions of users globally. We tackle massive information scales, extending beyond web search to areas like AI, NLP, and mobile. We seek versatile engineers with leadership potential, eager to embrace new challenges across the full stack and push technological boundaries. Google is fundamentally an engineering-driven company, attracting talent to solve significant tech challenges and impact millions of users worldwide.

- Develop scalable engineering solutions for Google products. - Analyze information and evaluate results to identify optimal solutions. - Apply computer science knowledge to solve real-world challenges. - Foster a culture of productivity and innovation through peer and manager support. - Collaborate across teams to ensure the continued success of AI-driven software and large-scale systems.

Minimum Qualifications: - Currently pursuing a PhD program with a specialization in software development or a related technical field. - Proficiency in at least one general-purpose programming language such as Java, C/C++, Python, JavaScript, or Go. - Experience working within Unix/Linux environments. - Solid understanding of data structures, algorithms, and software design principles.

Preferred Qualifications: - Prior research experience in areas like algorithms, architecture, artificial intelligence, compilers, databases, data mining, distributed systems, machine learning, networking, or systems. - Programming experience in C/C++, C#, Java, JavaScript, Python, Objective-C, Go, or similar languages. - Demonstrated expertise in computer science, with strong competencies in data structures, algorithms, and software design.