Wednesday, January 18, 2012

Software Engineer, New Grad - North America Locations

This position is based in Atlanta, GA; Boulder, CO; Cambridge, MA; Chapel Hill, NC; Chicago, IL; Irvine, CA; Kirkland/Seattle, WA; Mountain View, CA; New York, NY; Pittsburgh, PA; Los Angeles, CA or Waterloo, Ontario.

The area: Engineering

Simply put, Google engineers make computers do amazing things. Populated by extraordinarily creative, motivated and talented people, our Engineering team gets excited by developing new applications that really make a difference and are used by millions of people. We're driven by Google's mission to organize the world's information and make it universally accessible and useful. If you seek to tackle such challenges as building a highly scalable computing infrastructure, novel storage systems, innovative user experiences or the next big application that will change the world, then this might be a perfect fit for you.

The role: Software Engineer, New Grad

Software Engineers at Google are researchers and developers who yearn to create and implement complex computer science solutions.

As a Software Engineer, you will work on our core products and services as well as those who support critical 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 challenging technical problems 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: 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. This isn't a job in which you'll simply debug and run test cases, in fact that only scratches the surface. 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. There are no text books that can help you learn this, which is why we have some of the best and brightest engineers working in this group.

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 elite 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 scale to tens of millions of users. You will tackle 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.



Candidates graduating December 2011 to August 2012 are encouraged to apply.


Responsibilities:

Perform specific responsibilities which vary by project area

Minimum Qualifications:

  • BS degree in computer science or related technical field.
  • Programming experience in one or more of the following languages: C, C++, Java and/or Python.
  • Preferred Qualifications:
  • MS degree in computer science or related technical field.
  • 1 year relevant work experience, including experience with Unix/Linux or Windows environments, distributed systems, machine learning, information retrieval, and TCP/IP.
  • Experience in network programming and/or developing/designing large software systems.


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