Research at Google tackles the most challenging problems in Computer Science and related fields. Being bold and taking risks is essential to what we do, and research teams are embedded throughout Google allowing our discoveries to affect billions of users each day.

Our Latest Publications

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    Disks for Data Centers

    Eric Brewer, Lawrence Ying, Lawrence Greenfield, Robert Cypher, Theodore T'so

    Google (2016), pp. 1-16

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    Rich Queries on Encrypted Data: Beyond Exact Matches

    Sky Faber, Stanislaw Jarecki, Hugo Krawczyk, Quan Nguyen, Marcel Rosu, Michael Steiner

    20th European Symposium on Research in Computer Security (2015)

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    Maglev: A Fast and Reliable Software Network Load Balancer

    Daniel E. Eisenbud, Cheng Yi, Carlo Contavalli, Cody Smith, Roman Kononov, Eric Mann-Hielscher, Ardas Cilingiroglu, Bin Cheyney, Wentao Shang, Jinnah Dylan Hosein

    13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 16), USENIX Association, Santa Clara, CA (2016) (to appear)

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Datasets

Doing research of your own? View the datasets we've made available, suitable for use in a wide range of computer science disciplines.

 
 

Research Outreach

We support the broader research community through our Faculty Engagement and Student Support programs, and by providing Research Datasets and Tools & Resources

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Work at Google

Google is a fantastic place to do research. The ability to work on really interesting problems, with excellent colleagues (whose expertise is often very complementary to your own), and to have your research impact billions of users every day is incredibly exciting.

I'm at Google because that's where the data is, and the means to use it. This makes it possible to do great work at scale. In the end, the reason for doing the work is to create something useful that helps people, and Google makes it easy for researchers to roll out products that will help hundreds of millions of people.

The raw computation power available at Google is just incredible - we can do research on a scale that was unimaginable to me in academia, and work on problems that no one else is even thinking of.

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