Google offers Software Engineering Intern, Winter 2023.
Winter internships
will start in January 2024 and will be 22-24 weeks in duration.
This internship is
intended for students who are pursuing the final year in a Bachelor's, Master's
or a Dual degree program in Computer Science or a related field.
To start the application
process, you will need an updated CV or resume and a current unofficial or
official transcript in English. Click on the 'Apply' button on this page and
provide the required materials in the appropriate sections (PDFs preferred).
Minimum qualifications:
- Currently enrolled in an Associate,
Bachelor's, or Master's degree program and or post secondary or training
experience with a focus on subjects in software development or other
technical related field.
- Experience in software development.
- Experience coding in one or more
language (e.g., C, C++, Java, JavaScript, Python, or similar).
Preferred qualifications:
- Experience with Data Structures or Algorithms gathered from inside or outside of school or work (including open source hobby coding).
- Experience working with some of the following: web application development, Unix/Linux environments, mobile application development, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, or security software development.
- Available to work full time for a minimum of 6 months outside of university term time.
- Ability to communicate in English fluently.
About the job
As a Software Engineering
Intern, you will work on our core products and services as well as those who
support critical functions of our engineering operations. Whether it's finding
new and innovative ways to advance search quality, building computing platforms
and networking technologies, automating the indexing of videos, or continuing
to refine and scale complex auction systems, you'll develop solutions for
challenging technical problems.
You will research,
conceive, and develop software applications to extend and improve on Google's
product offerings and collaborate on scalability issues involving access to
massive amounts of data and information.
Just imagine trying to
design and build an automated testing system for something that's never been
done before.
Responsibilities
- Create and support a productive and
innovative team, including working with peers, managers, and teams.
- Develop scripts to automate routine
tasks.
- Analyze information and evaluate
results to choose the best solution to effectively solve problems.
- Apply knowledge gained in computer
science courses to real-world problems.
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