Want An Engineering Job At Google?

Want An Engineering Job At Google? Here Are 10 Needed Skills

Google, the most desired company for any job seeker is as cool as its name. Google keeps its employees happy and creative. Pressure of work is not as mush as that of creating and coming up with new ideas. Engineers are considered rock stars at Google and are even paid like them. It’s like a dream come true for the engineers to work here. Now here comes the trouble.

Jobs at Google may be a heavenly experience but to get hired one should have unique skills and knowledge. So, here we are handing you a list of skills that one should have, in order to get a $100, 000 worth engineering job at Google.

Learn to Code: Code makes your computer programs work. For example, it is the list of commands that tell a word processor, a website, a video game or even an airplane navigation system what to do. That is all what software is, lines of code written by people. In order to get a job in Google one should learn coding at least in one object oriented programming language like C++, Java or Python.

Test the Code: It is not sufficient to only learn coding. Candidates should be able to test the codes. Google wants them to be capable of identifying and removing bugs, breaking software and creating tests. Algorithmic problems are even asked during the technical interview round.

Have some Background in Abstract Math: Some knowledge regarding abstract or pure mathematics should be present before applying for a job in Google. One should cover areas like logical mathematics, algorithm, discrete math and derivatives and integral problems which one learns along with the computer science.

Get to Know Operating Systems: An OS or Operating System is software that manages computer hardware and software resources and provides common services for computer programs. It’s an important component of the system software in a computer system.

Becoming Familiar with Artificial Intelligence: The intelligence shown by machines in the field of work is known as Artificial Intelligence. In Google such intelligence is given high respect. So a person having the capability to work on such machines and bring extraordinary results is always welcomed by Google.

Understand Algorithms and Data Structure: Google requires the knowledge of fundamental data types like stacks, queues and bags as well that of Algorithms like quicksort, meregesort and heapsort. Data structure is a particular way of organizing data in a computer. Algorithm is a self-contained step by step set of operations to be performed. Algorithms perform calculations, data processing and automated reasoning. To get outstanding results like Google, one should definitely know about such things.

Learn Cryptography: Cryptography is a technique of securing information in the presence of adversaries. It is used to construct and analyze protocols to block the third parties. Various aspects of information security come under this, like data security, authentication, non-repudiation and confidentiality. If you know all of the above, you have a bright chance in Google because cyber security is very important for the entire system of Google.

Learn How to Build Compilers: Compiler is a computer program that transforms source code written in a programming language into another computer language. It is generally used for translating high level programming language source code to a lower level language or machine language. Learning to build this program is one of the key criteria that can help the applicants take a real shot at Google.

Learn Parallel Programming: Parallel programming refers to a model where a number of programs can be compiled and operated parallely.

Large problems can often be divided into small ones and then are solved easily. Computing numerous problems simultaneously together is really a matter of great power and pressure. Hence a Google engineer should learn that as well.

Learn other Programming Languages: The more, the better, is the key to success and improvement. If a person learns many languages like Javascript, CSS, Ruby and HTML, then there will be no looking behind.