Resumen de Google

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  • Mountain View, CA
  • Más de 10 000 empleados
  • 1998
  • Empresa privada (cotiza en bolsa) (GOOG)
  • Internet y servicios web
  • Más de 10 000 millones (USD)

CompetenciaMicrosoft, Apple, Meta
Comparar con otra empresa

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have over a hundred thousand employees and over one hundred offices around the world. These Googlers build products that help create ...
Objetivo: Google’s mission is to organize the world’s information and make it universally accessible and useful.

Opiniones sobre Google

Recomendaría a un amigo
Aprobación Dir. Gral.
Sundar Pichai
Sundar Pichai
6,201 valoraciones
Empleado actual


Jun 21, 2022 - Becario en prácticas


Todo es bueno empezando a trabajar


Nada es malo en esta empresa
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Diversidad e inclusión en Google

(7399 opiniones)

Programas e iniciativas sobre diversidad

As Google continues to grow, we have a responsibility to scale our diversity, equity, and inclusion initiatives to increase pathways to tech in the communities we call home. Here’s how we’re approaching that work.

We are building a robust, diverse talent pool to support our industry’s growth. By providing computer science education from primary school through university we are growing the next generation of Black and Latinx tech leaders through programs like CS First, Code Next, and .css-1h8fl5g{width:100%;height:60px;position:absolute;bottom:0px;background:linear-gradient(to bottom,rgba(255,255,255,0) 0%,rgba(255,255,255,1) 90%);}

Fotos de Google

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Entrevistas de Google

Entrevista conseguida
Solicitud electrónica45%
Recomendación de empleado21%

  1. Entrevista de Software Engineer

    Empleado anónimo en Mountain View, CA
    Oferta aceptada
    Experiencia positiva
    Entrevista difícil

    Solicité el puesto a través de la recomendación de un empleado. El proceso duró 4 semanas. Acudí a una entrevista en Google (Mountain View, CA) en Apr 2014


    Direct onsite because I interviewed in the past and did well that time. From the time I sent my resume to interview day: 2 weeks. From interview day to offer over the phone: 2 weeks.

    The syllabus for the interviews is very clear and simple:
    1) Dynamic Programming
    2) Super recursion (permutation, combination,...2^n, m^n, n!...etc. type of program. (NP hard, NP programs)
    3) Probability related programs
    4) Graphs: BFS/DFS are usually enough
    5) All basic data structures from Arrays/Lists to circular queues, BSTs, Hash tables, B-Trees, and Red-Black trees, and all basic algorithms like sorting, binary search, median,...
    6) Problem solving ability at a level similar to TopCoder Division 1, 250 points. If you can consistently solve these, then you are almost sure to get in with 2-weeks brush up.
    7) Review all old interview questions in Glassdoor to get a feel. If you can solve 95% of them at home (including coding them up quickly and testing them out in a debugger + editor setup), you are in good shape.
    8) Practice coding--write often and write a lot. If you can think of a solution, you should be able to code it easily...without much thought.
    9) Very good to have for design interview: distributed systems knowledge and practical experience.
    10) Good understanding of basic discrete math, computer architecture, basic math.
    11) Coursera courses and assignments give a lot of what you need to know.
    12) Note that all the above except the first 2 are useful in "real life" programming too!

    Interview 1:
    Graph related question and super recursion

    Interview 2:
    Design discussion involving a distributed system with writes/reads going on at different sites in parallel.

    Interview 3:
    Array and Tree related questions

    Interview 4:
    Designing a simple class to do something. Not hard, but not easy either. You need to know basic data structures very well to consider different designs and trade-offs.

    Interview 5:
    Dynamic programming,
    Computer architecture and low level perf. enhancement question which requires knowledge of Trees, binary search, etc.

    At the end, I wasn't tired and rather enjoyed the discussions. I think the key was long term preparation and time spent doing topcoder for several years (on and off as I enjoy solving the problems).

    Conclusion: "It's not the best who win the race; it's the best prepared who win it."


    2 respuestas

Ver las 15,967 entrevistas

Premios y reconocimientos de Google

  • Fortune 500Fortune2015
  • Best Companies to Work ForFortune2014

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