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 Developing 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.

We offer a range of internships in either Software Developing or Site-Reliability across North America, including the US and Canada. Our recruitment team will determine where you fit best based on your resume.

As a Software Developer 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 Developer Intern:

As a key member of a versatile team, you will work on a specific project critical to Google’s needs. We need our developers to be versatile, and enthusiastic in addressing new 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 developers 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-critical systems up and running from code-level troubleshooting of traffic anomalies to maintenance of our most cutting-edge services, monitoring and alerts to building new 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 Canada base salary for this full-time position is CAD 96,000, determined by role, level, and location. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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

Responsibilities

• Create and support a productive and innovative team, including working with peers, managers, and teams.

• Develop scripts to automate routine tasks.

• Apply knowledge gained in computer science courses to real world issues.

• Analyze information and evaluate results to choose the best solution to effectively solve problems.

Minimum qualifications

• Pursuing a PhD program with a focus on subjects in software development or other technical related fields.

• 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 Canada and available to work full time for 12 weeks outside of university term time.
• 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.