About the job

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 also collaborate on multitudes of smaller projects that have universal appeal.

As a Software Engineering Intern, you will work on a specific project critical to Google’s needs. Google is working to advance the state of the art in computing and build the next generation of intelligent systems for all Google products. To achieve this, we work on projects that utilize the latest computer science techniques developed by skilled software developers. Whether we're shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people.

Software Engineering Intern:

As a key member of a versatile team, you will work on a specific project critical to Google’s needs. We need our engineers to be versatile, and enthusiastic in addressing problems as we continue to push technology forward. You will design, test, deploy, and maintain software solutions as you grow and evolve during your internship.

Site Reliability Intern:

Our engineers create, fix, extend, and scale the code to keep it working and to harden it against all the bad actors of the internet. We drive reliability and performance on a massive scale. You will work on software development projects to keep important business generating-critical systems up and running, from code-level troubleshooting of traffic anomalies to maintenance of our services, from monitoring and alerts 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. 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.

The US base salary range for this full-time position is $113,000-$150,000. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

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.

Minimum qualifications

• Pursuing a PhD program in Computer Science or a related technical field.

• Experience coding in one of the following programming languages including but not limited to: C, C++, Java, or Python.

Preferred qualifications

• 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.
• 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.