Google
Winter Internship 2023 | Hiring Software Engineering Intern | Apply Now
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Google Winter Internship 2023
|
Company Name |
Google |
|
Website |
|
|
Designation |
Software Engineering Intern |
|
Eligibility |
BE/B.Tech/M.Tech |
|
Batch |
2023 passing out |
|
Job Location |
Bangalore/ Hyderabad |
|
Experience |
Fresher |
|
Stipend |
Not Disclosed |
|
Last date to apply |
Apply ASAP |
(Candidates should apply as soon as possible,
before the link gets expired)
Our Winter internships will start in January 2023 and
will be 22-24 weeks in duration.
This internship is intended for students who are pursuing
the final year in a Bachelor's, Master's or a Dual degree program in Computer
Science or a related field and will graduate in 2023.
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. Ensure any proficiency in
coding languages are listed on resume.
2. In
the 'Higher education' section, fill out the fields accordingly and select 'Now
attending' under 'Degree status'. Then, upload a current or recent unofficial
or official transcript in English.
Note: By applying to this position you will have an opportunity to share your
preferred working location from the following: Hyderabad, Telangana,
India; Bangalore, Karnataka, India.
Qualifications
Minimum qualifications:
- Currently
enrolled in an Associate, Bachelor's, or Master's degree program and or
post secondary or training experience with a focus on subjects in software
development or other technical related field.
- Experience
in software development.
- Experience
coding in one or more of C, C++, Java, JavaScript, Python, or similar.
Preferred qualifications:
- Experience
with Data Structures or Algorithms gathered from inside or outside of
school or work (including open source hobby coding).
- Experience
working with some of the following: web application development,
Unix/Linux environments, mobile application development, distributed and
parallel systems, machine learning, information retrieval, natural
language processing, networking, developing large software systems, or
security software development.
- Available
to work full time for a minimum of 6 months outside of university term
time.
- Ability
to speak and write in English fluently.
About the job
As a Software Engineering Intern, you will work on our
core products and services as well as those who support critical functions of
our engineering operations. Whether it's finding new and innovative ways to
advance search quality, building computing platforms and networking
technologies, automating the indexing of videos, or continuing to refine and
scale complex auction systems, you'll develop solutions for challenging
technical problems.
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.
Just imagine trying to design and build an automated
testing system for something that's never been done before.
Google is and always will be an engineering company. We
hire people with a broad set of technical skills who are ready to address 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
- Create
and support a productive and innovative team, including working with
peers, managers, and teams.
- Develop
scripts to automate routine tasks.
- Analyze
information and evaluate results to choose the best solution to
effectively solve problems.
- Apply
knowledge gained in computer science courses to real-world problems.
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