Home » Intern – Cloud Systems Reliability Microsoft Corporation Redmond, Washington

Intern – Cloud Systems Reliability Microsoft Corporation Redmond, Washington

Website Microsoft Corporation

If you are looking for real-world experience then apply for the Microsoft Corporation internship program this year. Intern – Cloud Systems Reliability offers exellent learning opportunities for candidates. Application deadline is approching soon for the Redmond, Washington.

Brief Details

Job: Intern – Cloud Systems Reliability
Internship
Paid/Unpaid: unpaid
Company: Microsoft Corporation
Location: Redmond, Washington
Application Deadline:

Internship Description

Intern – Cloud
Systems Reliability

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Microsoft Research provides a dynamic environment for
research careers with a network of world-class research labs led by
globally-recognized scientists and engineers. Our researchers and engineers
pursue innovation in a range of scientific and technical disciplines to help
solve complex challenges in diverse fields, including computing, healthcare,
economics, and the environment.

The cloud reliability research in Microsoft Research aims to
develop practical tools and techniques that can help cloud developers
adequately debug, test, configure, and monitor their systems. The research
combines Distributed Systems, PL, Software Engineering, and Machine Learning
techniques and spans all aspects of improving reliability and availability of
large-scale cloud systems, including:

  • Analyzing
    production data to understand how real cloud systems fail and what can be
    done to prevent them.
  • Developing
    practical static and dynamic analysis techniques to uncover hard-to-find
    bugs before production. The techniques can be evaluated and used with
    thousands with Microsoft software projects.
  • Developing
    practical and novel techniques for diagnosing failures, runtime
    monitoring, logging, & failure prevention, etc.

Over the last several years, technology arising from our
research has significantly improved reliability of many Azure products and has
led to publications in top systems conferences, including a Best Paper
at ACM SOSP 2019
.

During this internship you will have the opportunities to
work with top researchers and engineers at Microsoft Research as well as
various Azure systems to develop innovative solutions to challenging research
problems in the above technical areas. You will also have the unique
opportunity to evaluate your techniques on thousands of software projects in
Microsoft.

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Responsibilities

Interns put inquiry and theory into practice. Alongside
fellow doctoral candidates and some of the world’s best researchers, interns
learn, collaborate, and network for life. Interns not only advance their own
careers, but they also contribute to exciting research and development strides.
During the 12-week internship, students are paired with mentors and expected to
collaborate with other interns and researchers, present findings, and
contribute to the vibrant life of the community. Research internships are
available in all areas of research, and are offered year-round, though they
typically begin in the summer.

Qualifications

In addition to the qualifications below, you’ll need submit
a minimum of two reference letters for this position. After you submit your
application, a request for letters may be sent to your list of references on
your behalf. Note that reference letters cannot be requested until after you
have submitted your application, and furthermore, that they might not be
automatically requested for all candidates. You may wish to alert your letter
writers in advance, so they will be ready to submit your letter.

 Required Qualifications

  • Must
    be currently enrolled in a PhD program in Computer Science or a related
    STEM field.

Preferred Qualifications

  • Familiarity
    with common failures of cloud systems and techniques for debugging,
    testing, configuring, and monitoring large-scale cloud systems
  • Familiarity
    with existing distributed systems, software engineering, and machine
    learning techniques to improve software reliability

 

ID: KmZ62UZ8U8

To apply for this job please visit careers.microsoft.com.