Tuesday, 10 January 2017

Google 2017 Internship program USA Last Date/ How to apply

About Google 2017 Internship program:
Google offers internships in the following areas: software engineering, product management, user experience, IT & Data Management and much more. Google's interns enjoy some of the same perks as full time employees, enjoying free food, the opportunity to work on meaningful projects and high compensation.

How to apply for Google 2017 Internship program?

There are 4 major ways of applying for Google Internship program:

1. Online application: Internships – Google careers(https://careers.google.com/students/)
Applying online on the Google internship portal. You will need your resume (in PDF) and transcript.

2. Employee referral:
You can ask some Google employee to refer you. You can find them on LinkedIn or other social media sites. This will only get you past the resume screening process. After that, the procedure is same for everyone.

3. Mailing the Google HR:
Find a previous googler or a former intern and ask her to provide you the e-mail address of the HR. Mail the HR directly, clearly stating your purpose, with a well-crafted cover letter and resume.

4. Google Summer of Code:
It’s not exactly an internship at Google; it’s a global program sponsored by Google where students work on the projects with open source organizations (previously selected by Google) independently under some mentorship. Students contact the mentor organizations they want to intern with and submit a project proposal. It’s a virtual also known as work from home internship program.


Here we are describing only Online application for USA(source google)

Software Engineering Intern, PhD, Summer 2017

Applications are due by January 31, 2017 at 11:59pm PST. Our team will review applications on a rolling basis and it's in the candidates best interest to apply early. All hiring will be completed by April 2017. Thank you for your patience while we consider your application.

Software Engineers at Google are researchers and developers who yearn to create and implement complex computer science solutions. Our engineers develop massively scalable, distributed software systems and also collaborate on multitudes of smaller projects that have universal appeal - requiring awareness and comprehension of the latest research in the field. We focus on being a collaborative, global organization consisting of engineers with the highest levels of technical depth, programming skills and a keen eye for quality.

As a Software Engineer Intern, you will work on our core products and services as well as those who support critical functions of our engineering operations. You build strong competencies in data structures and algorithms, along with a technical fascination for how stuff fits together. You need to have a solid foundation in computer science in order to consistently come up with new ideas as well as strive for a deep understanding of our products and services in order to continually improve upon them. Typically our PhD Interns are expected to work in the following area:

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 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 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 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.

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 issues involving access to massive amounts of data and information.


Minimum qualifications

  • Currently pursuing a PhD degree in Computer Science or related technical field.
  • Must be currently enrolled in a full time degree program and returning to the program after the completion of the internship.


Preferred qualifications

  • Research experience in Algorithms, Architecture, Artificial Intelligence, Compilers, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems.
  • Implementation skills with one or more general purpose programming languages including but not limited to: Java, C/C++, C#, Objective C, Python, JavaScript, or Go.
  • A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.


Job details
Team or role:Software Engineering
Job type:Intern
Last updated: Dec 19, 2016
Job location(s):New York, NY, USA; Los Angeles, CA, USA; Washington, DC, USA; Mountain View, CA, USA; Cambridge, MA, USA; San Francisco, CA, USA; Boulder, CO, USA; Pittsburgh, PA, USA; Chicago, IL, USA; Seattle, WA, USA; Kirkland, WA, USA; Chapel Hill, NC, USA; Portland, OR, USA; San Bruno, CA, USA

Click here to apply now https://www.google.com/about/careers/search#!t=jo&jid=216355001&
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1 comment:

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