Software Engineering Intern, PhD, Summer 2027

Applications will be reviewed on a rolling basis; early application is encouraged. The anticipated application window is open until February 26, 2027, but may close earlier if all available projects are filled. Participation requires being located in the United States for the duration of the internship. This internship is intended for students in their penultimate academic year, pursuing a PhD in Computer Science or a related field. English proficiency is required.

About the role

Join us for a unique 12-14 week paid internship offering personal and professional development, an executive speaker series, and community-building. As a Software Engineering Intern, you will work on a specific project critical to Google’s needs, contributing to complex computer science solutions, scalable distributed software systems, and smaller projects with universal appeal. Google advances the state of the art in computing, building next-generation intelligent systems across products. Whether shaping sustainability, optimizing algorithms, or pioneering AI, our teams strive to progress science and improve lives globally.

As a key member of a versatile team, you will design, test, deploy, and maintain software solutions. Site Reliability Interns create, fix, extend, and scale code to ensure system reliability and performance at massive scale, working on software development projects to maintain critical systems, troubleshoot traffic anomalies, and build automation infrastructure.

Google is an engineering company where engineers tackle technology’s greatest challenges, impacting millions of users. From Google Ads to Chrome, Android to YouTube, engineers work on scalability, storage, large-scale applications, and new platforms.

Responsibilities

• Develop scripts to automate routine tasks.
• Analyze information and evaluate results to choose the best solution for solving issues.
• Apply knowledge gained in computer science courses to real-world challenges.
• Create and support a productive and innovative team, collaborating with peers, managers, and other teams.

Requirements

• Pursuing a PhD program in Computer Science or a related technical field.
• Experience coding in one or more of the following: C, C++, Java, or Python.
• Currently attending a degree program in the US and available to work full-time for 12 weeks outside of university term time.
• In their penultimate academic year or returning to a degree program after the internship.
• English proficiency.
• Located in the United States for the duration of the internship.

Preferred Qualifications

• Experience conducting research in Algorithms, Architecture, Artificial Intelligence, Compilers, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems.
• Experience in computer science, data structures, algorithms, and software design.

Benefits

• Health, dental, and vision insurance.
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle), including 5 discretionary sick days per instance.
• 13 paid holidays per year.

Pay

Individual pay is determined by job-related skills, experience, and relevant education or training. US: $118,000 - $157,000 (USD) with a 0% bonus target.

Schedule

• 12-14 week internship.
• Full-time (40 hours/week) outside of university term time.

To apply, submit an updated CV or resume (listing anticipated graduation date in MM/YY) and a current unofficial or official transcript in English. Preferred working locations include: Mountain View, CA; Atlanta, GA; Austin, TX; Boulder, CO; Cambridge, MA; Bellevue, WA; Chicago, IL; Irvine, CA; Kirkland, WA; Los Angeles, CA; Madison, WI; New York, NY; Palo Alto, CA; Portland, OR; Pittsburgh, PA; Raleigh, NC; Durham, NC; Reston, VA; Redmond, WA; Redwood City, CA; San Diego, CA; Goleta, CA; San Bruno, CA; Seattle, WA; San Francisco, CA; San Jose, CA; Santa Cruz, CA; South San Francisco, CA; Sunnyvale, CA; Washington D.C.