Here is the List Of Skills Google Want Its Software Engineers To Have
Google is easily the most desirable employer on Earth.
Engineers are the rock stars at Google and they get paid accordingly. Salaries
for Interns start at $70,000 to $90,000, while software engineers can pull in
$118,000 and senior software engineers can make an average of $152,985.
It’s not just Google, Companies like Facebook, Microsoft and
Amazon also pays huge salaries to the Software engineers they hire. But,
getting hired in such huge companies is not an easy task and takes in lot of
efforts.
A lot of skills are expected from a person with software
engineer background to get hired in those huge companies. Fortunately, Google
released a list of skills they expect from a person who applies for a job. The
list is so good that it even helps you to get in any other top companies around
the world.
The Summery of the
List is as follows:
1. Mastering the
foundation. You have been through an introduction to CS course, like the
ones from Coursera or Udacity.
2. Learn at least one
object-oriented programming language. Like Java, C++, or Python. Consult
Udacity or MIT.
3. Learn other
programming languages. Add CSS, Ruby, Java Script, and HTML to your
skillset. CodeAcademy and W3school are places you might want to visit.
4. Test your code.
Companies like Google wants you to be able to “Find bugs, create tests, and
break your software.” Udacity, again.
5. Get some
background in abstract math. It is math like logical reasoning and discrete
math, on which lots of computer science depends upon. MIT can help you with
mathematics courses for computer science.
6. Understand data
structures and algorithms . Companies like Google wants you to learn about
fundamental data types like queues, stacks, and bags, as well as grasp sorting
algorithms like mergesort, quicksort, and heapsort. MIT provides the
recommended online resources.
7. Know operating
systems. Because they are the places where you do most of your work at. The
University of California, Berkeley,provides a primer in this course.
8. Become familiar
with Artificial Intelligence. Google loves AI and robots. Stanford provides
the knowledge.
9. Learn to build
compilers. According to Stanford, by learning to build compilers, “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.” Head to
Coursera for the learning.
10. Learn
cryptography. Because cybersecurity is a very crucial part.Udacity and
Coursera provide courses.
11. Learn parallel
programming. Because being able to carry out tons of computations at the
same time is super powerful. The University of Illinois can help you out.
