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 in the internship program requires that you are located in the United States for the duration of the internship. This internship is intended for students in their penultimate academic year, who are currently pursuing a PhD degree program in Computer Science or a related field. English proficiency is required.
About the role
Join us for a unique 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and collaborate on multitudes of smaller projects that have universal appeal. We offer internships in either Software Engineering or Site-Reliability Engineering across North America, including the US and Canada.
As a Software Engineering Intern, you will work on a specific project critical to Google’s needs, shaping the future of sustainability, optimizing algorithms, or pioneering AI systems. Site Reliability Interns create, fix, extend, and scale code to keep critical systems running, from troubleshooting traffic anomalies to building automation infrastructure.
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.
Responsibilities
- Develop scripts to automate routine tasks.
- 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.
- Create and support a productive and innovative team, including working with peers, managers, and teams.
Requirements
- Pursuing a PhD program in Computer Science or a related technical field.
- Experience coding in one of the following programming languages: 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 completion of 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 factors including job-related skills, experience, and relevant education or training. US: $118,000 - $157,000 (USD) + 0% bonus target.
Schedule
- 12-14 week internship.
- Full-time (40 hours/week) for the duration of the internship.
Locations
Preferred working locations include:
- Mountain View, CA, USA
- Atlanta, GA, USA
- Austin, TX, USA
- Boulder, CO, USA
- Cambridge, MA, USA
- Bellevue, WA, USA
- Chicago, IL, USA
- Irvine, CA, USA
- Kirkland, WA, USA
- Los Angeles, CA, USA
- Madison, WI, USA
- New York, NY, USA
- Palo Alto, CA, USA
- Portland, OR, USA
- Pittsburgh, PA, USA
- Raleigh, NC, USA
- Durham, NC, USA
- Reston, VA, USA
- Redmond, WA, USA
- Redwood City, CA, USA
- San Diego, CA, USA
- Goleta, CA, USA
- San Bruno, CA, USA
- Seattle, WA, USA
- San Francisco, CA, USA
- San Jose, CA, USA
- Santa Cruz, CA, USA
- South San Francisco, CA, USA
- Sunnyvale, CA, USA
- Washington D.C., DC, USA