Home » Software Engineering Intern, Phd, Summer 2020 Google Austin , TX

Software Engineering Intern, Phd, Summer 2020 Google Austin , TX

  • Full Time Internship
  • Austin , TX
  • Applications have closed

Website Google

Don’t miss the excellent learning opportunity at the Google. Software Engineering Intern, Phd, Summer 2020 has been open at their Austin , TX.

Brief Details

Job: Software Engineering Intern, Phd, Summer 2020
Internship
Paid/Unpaid: paid
Company: Google
Location: Austin , TX
Application Deadline: 02/07/2020

Internship Description

Software Engineering Intern, PhD, Summer 2020

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Please Complete Your Application Before February 7, 2020.

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):

  • 1. In
    The “Resume Section:” Attach An Updated Cv Or Resume.
  • 2. In
    The “Education Section:” Attach A Current Or Recent Unofficial Or Official
    Transcript In English.

Under “Degree Status,” Select “Now Attending” To Upload A
Transcript.

Note: By Applying To This Position Your Application Is
Automatically Submitted To The Following Locations: Austin, Tx, Usa;
Boulder, Co, Usa; Cambridge, Ma, Usa; Chapel Hill, Nc, Usa; Chicago, Il, Usa;
Irvine, Ca, Usa; Kirkland, Wa, Usa; Los Angeles, Ca, Usa; Madison, Wi, Usa; New
York, Ny, Usa; Palo Alto, Ca, Usa; Portland, Or, Usa; Pittsburgh, Pa, Usa; San
Bruno, Ca, Usa; Seattle, Wa, Usa; San Francisco, Ca, Usa; Sunnyvale, Ca, Usa;
Mountain View, Ca, Usa

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Qualifications

Minimum
Qualifications:

  • Currently
    Pursuing A Phd Degree In Computer Science Or In A Related Technical Field.
  • Programming
    Experience In One Or More Of The Following: C/C++, Java Or Python.

Preferred
Qualifications:

  • Returning
    To A Degree Program After The Completion Of The Internship.
  • Research
    Experience In The Following Areas; Algorithms, Architecture, Artificial
    Intelligence, Compilers, Database, Data Mining, Distributed Systems,
    Machine Learning, Networking And/Or Systems.
  • Demonstrated
    Background In Computer Science, With Competencies In Data Structures,
    Algorithms And Software Design.
  • Implementation
    Skills With One Or More General Purpose Programming Languages, Including
    But Not Limited To: Java, C/C++, C#, Objective C, Python, Javascript
    And/Or Go.

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. This Program Will Give You An Opportunity To Work On
Complex Computer Science Solutions, To Develop Scalable, Distributed Software
Systems, And Also To Collaborate On Multitudes Of Smaller Projects That Have
Universal Appeal – Which Requires Research, Awareness, Interactivity, And The
Ability To Ask The Right Questions.

As A Software Engineering Intern, You Will Work On Our Core
Products And Services As Well As Those Which Support Key Functions Of Our
Engineering Operations. Depending On Your Background And Experience, You Will
Be Working In One Of The Following Areas:

Product And Systems Development

Whether It’s Finding New And Innovative Ways To Advance
Search Quality, Building Computing Platform And Networking Technologies,
Automating The Indexing Of Videos, Or Continuing To Refine And Scale Complex
Auction Systems (Just To Name A Few), You Will Be Developing Solutions To Some
Of The Most Technical Challenges Out There. 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. Examples Of Specialist Domains Include: Ui Development
With Ajax And Similar Technologies, Security, Embedded Systems And Mobile Apps
(Android), Developer Tools (Ides, Large-Scale Build Systems, Compilers).

Engineering Productivity

As A Software Engineer In The Engineering Productivity
Organization, You’ll Use Your Software Design, Analysis And Programming Skills
To Create Innovative Automated Test Systems. The Test Team Undertakes A Broad
Range Of Challenges On A Daily Basis, Designing And Building Intelligent
Systems That Can Explore Various Use Cases And Scenarios For Distributed
Computing Infrastructure. Just Imagine Trying To Design And Build An Automated
Testing System For Something That’s Never Been Done Before.

Site Reliability

Software Engineers Working In Site Reliability Are Involved
In Every Facet Of Google’s Production And Work On The Cutting Edge Of
Cloud-Based Computing. As A Member Of This Team, You Are In The Thick Of
Everything Involved With Keeping Google Running, From Code-Level
Troubleshooting Of Traffic Anomalies To Maintenance Of Our Most Cutting-Edge
Services; From Monitoring And Alerts To Building New Automation Infrastructure.
Software Engineers On This Team Love To Create Robust And Scalable Software
That Scales To Tens Of Millions Of Users. You Will Handle Challenging, Novel
Situations Every Day, And Work With Just About Every Other Engineering And
Operations Team To Provide Services And Applications That Are Quintessentially
Google – Fast, Reliable And Accessible To All.

Google Is And Always Will Be An Engineering Company. We Hire
People With A Broad Set Of Technical Skills Who Are Ready To Take On 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,
    Conceive 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 Challenges Involving Access To Massive Amounts Of Data And
    Information.

 

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