11 skills you need to
master to land
a $100,000 engineering job at Google
a $100,000 engineering job at Google
Google is the most desirable employer on Earth. Engineers are the rock stars
there — and they're paid accordingly. Last week, BITS Pilani Goa student Krunal
Kishorebhai Patel landed a Rs 1.4-crore starting annual salary offer from
Google for a position at the internet giant's headquarters at Mountain View,
California
The campus placement
will see him join the company as a software engineer in October 2015. Interns
start at $70,000 (Rs 43 lakh approx.) to $90,000 (Rs 55 lakh approx.) salaries,
while software engineers pull in $118,000 (Rs 73 lakh approx.) and senior
software engineers make an average of $152,985 (Rs 95 lakh approx.). But you do
not simply walk into the Googleplex
The company receives
upwards of 2.5 million job applications a year, but only hires about 4,000
people. Thankfully for would-be Googlers, the Google in Education team has
released a list of skills that they want to see in potential engineers.
"Having a solid foundation in Computer Science is important in being a successful Software Engineer,"the company says. "This guide is a suggested path for University students to develop their technical skills academically and non-academically through self-paced, handson learning."
"Having a solid foundation in Computer Science is important in being a successful Software Engineer,"the company says. "This guide is a suggested path for University students to develop their technical skills academically and non-academically through self-paced, handson learning."
Here are the skills
Google wants its tech talent to master, complete with online resources to get
you started:
1. Mastering the
foundation. You have to be able to get through an introduction to CS course,
like the ones from Udacity or Coursera.
2. Learn to code in at
least one object-oriented programming language. Like C++, Java, or Python.
Consult MIT or Udacity.
3. Learn other
programming languages. Add Java Script, CSS, Ruby, and HTML to your skillset,
learning from Code Academy.
4. Test your code.
Because Google wants you to be able to "catch bugs, create tests, and
break your software".
5. Have some
background in abstract math. Like logical reasoning and math, which lots of
computer science draws on. MIT can help you with mathematics for computer
science.
6. Understand algorithms and data structures. Google wants you to learn about fundamental data types like stacks, queues, and bags, as well as grasp sorting algorithms like quicksort, mergesort, and heapsort. MIT provides the recommended online resources, and the book The Algorithm Design Manual is super helpful, too.
6. Understand algorithms and data structures. Google wants you to learn about fundamental data types like stacks, queues, and bags, as well as grasp sorting algorithms like quicksort, mergesort, and heapsort. MIT provides the recommended online resources, and the book The Algorithm Design Manual is super helpful, too.
7. Get to know
operating systems. Because they' l l be where you do much of your work. The
University of California, Berkeley, provides a primer.
8. Become familiar
with artificial intelligence. Google loves robots, and a course at Stanford is
recommended.
9. Learn how to build
compilers. Stanford says that when you do that, "you will learn how a
program written in a high-level language designed for humans is systematically
translated into a program written in low-level assembly more suited to
machines."
10. Learn cryptography. Because cybersecurity is crucial. Coursera and Udacity provide courses.
11. Learn parallel programming. Because being able to parallel compute is super powerful.
10. Learn cryptography. Because cybersecurity is crucial. Coursera and Udacity provide courses.
11. Learn parallel programming. Because being able to parallel compute is super powerful.
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