10 skills you need to get a $100,000 engineering job at Google

10 skills you need to get a $100,000 engineering job at Google

Google is among the foremost wanted employers within the world. Engineers ar the rock stars at Google — and they are paid like one.

Interns begin at $70,000 to $90,000 salaries, whereas code engineers pull in $118,000 and senior code engineers build a mean of $152,985. however one doesn't merely walk into the Googleplex.

The company receives upwards of two.5 million job applications a year, however solely hires concerning four,000 people.

For would-be Googlers, the Google in Education team has discharged a listing of skills that they require to check in potential engineers.

"Having a solid foundation in computing is vital in being a productive computer programmer," the corporate says.

"This guide may be a steered path for university students to develop their technical skills academically and non-academically through self-paced, active learning."

Here ar the abilities Google desires its technical school talent to master, complete with on-line resources to induce you started

1. Learn to code

Learn to code in at least one object-oriented programming language, like C++, Java, or Python. Consult MIT or Udacity.

2. Test your code

It’s not just important to know how to code. You should also be able to test code, because Google wants you to be able to 'catch bugs, create tests, and break your software.'

3. Have some background in abstract math

It is important to have some background in abstract math, like logical reasoning and discrete math, which lots of computer science draws on.

4. Get to know operating systems

Get to know operating systems, for they'll be where you do much of your work.

5. Become familiar with artificial intelligence

Become familiar with artificial intelligence. Google loves robots.

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.

7. Learn cryptography

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8. 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.'

9. Learn parallel programming

Also, learn parallel programming because being able to carry out tons of computations at the same time is powerful.

10. Learn other programming languages

Add Java Script, CSS, Ruby and HTML to your skillset. W3school and CodeAcademy are there to help.