Jobs at Google

Software Engineering Intern, Summer 2025

at Google • Internship

Location

in-office (Sydney, Australia)

Duration

3 months

Compensation

$60/hour

Must have skills

Good to have skills

About this Opportunity

Minimum qualifications:

  • Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field.

  • Experience with one or more general purpose programming languages (e.g., Java, C/C++, Python, JavaScript, Go, etc.).

Preferred qualifications:

  • Currently in your penultimate year of study.

  • Experience in computer science.

  • Proficiency with data structures, algorithms, and software design.

  • Knowledge of Unix/Linux and APIs.

  • Familiarity with TCP/IP and network programming.

About the job

As a Software Engineering Intern, you will work on our core products and services as well as those which support critical functions of our engineering operations. You will develop and present ideas, striving for an understanding of our products to continually improve upon them. We focus on being a collaborative, global organization consisting of engineers with technical depth, programming skills, and a keen eye for quality.

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.

Responsibilities

  • Research, create, and develop software applications to extend and improve on Google's product offering.

  • Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies.

  • Collaborate on scalability issues involving access to massive amounts of data and information.

  • Work in and support a productive and innovative team with peers, managers, and cross-functional teams.

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