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      Entrevistas de GoogleEntrevistas para el puesto de Software Engineer en GoogleEntrevista de Google


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      Entrevista de Software Engineer

      18 may 2010
      Empleado anónimo
      Mountain View, CA
      Oferta aceptada
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Solicité el puesto a través de un captador. El proceso duró 2 meses. Acudí a una entrevista en Google (Mountain View, CA) en abr 2010

      Entrevista

      I was contacted directly by a recruiter, we exchanged a few emails and talked for a few minutes about past experience, skills, interests, etc. After I agreed to continue with the process, I had a phone interview, an on-site interview, was told that they'll contact my references and then received the offer. 1-3 weeks passed between each step. The recruiter talked me through the process and kept me informed about the progress of my application, but the process itself is rather opaque: you do not get to know exactly what you could be working on, you're unlikely to meet people you will be working with, and you do not get much feedback until the offer / no offer. Hiring decisions are made by committee(s) (i.e. not by a hiring manager who has an opening in his team), and although the recruiters may have a good feeling of which direction the application is going, they cannot promise anything until the decision is made. The phone interview was with one software engineer for 45-60 mins. After a few ice-breaking questions, they jumped into a few technical questions and then gave me a few minutes for my questions. The on-site interview consisted of 5 1-1 technical interviews of 45 minutes each with software engineers, plus a lunch break in one of the cafeterias with another engineer; In total I probably answered 20-30 different questions on data structures, algorithms, and discrete maths. You write down the answers on a whiteboard or notebook and the interviewers take notes. Sometimes correct syntax is required, sometimes pseudocode is acceptable. The level of the questions varied a lot and covered a lot of areas: one minute I am manipulating the bits of a byte to implement one coding trick, the next I am discussing heuristics for an intractable problem. Most interviewers gave me a few minutes at the end to ask them questions, and the discussions touched briefly on my past experience although I was not expected (and one really shouldn't) give too much information on my current work; keep in mind that the interviewee signs an NDA but the interviewers don't. In my current job I do a fair amount of interviewing and I often interview candidates who give the impression of being competent but fall short of doing well in the technical interview because they're unprepared. This often leads to a no-hire decision, probably an unfortunate false negative, but hiring decisions are very hard to make since bad recruits are a severe liability to an engineering team. I did not want to be such a candidate so I prepared as best as I could; luckily the process was slow enough to give me some time to do that. I read (and worked through the exercises of) textbooks on algorithms, datastructures, discrete maths, the languages I use, practiced my handwriting, brushed up on standard CS topics I do not currently use, and learned a bit about Google specific technology like MapReduce. I also brushed up on my past research/experience and areas related to that. I was not asked on most of what I prepared on, and I was asked on areas I did not think of preparing on, but I think that this preparation really helped me to be in the right mindset to solve the type of questions I was asked. In my opinion, good knowledge in the fundamentals is essential but the most important skill is problem solving. I was asked questions about areas I'm not familiar with, but (with some help from the interviewers) I was able to break them down into smaller components I could at least tackle. I probably didn't impress in those questions but it was better than throwing in the towel. I was not asked directly on specific datastructures and algorithms, but if I decided to use some to solve a problem, then I was asked detailed questions about them. So: problem solving is the skill, CS knowledge provides the tools. I have negligible experience of being an interviewee, and it's amazing all the silly mistakes my nerves made me do; I really felt that I had misrepresented myself as being clumsy (at least more than I am...), but luckily it is a myth that one mistake is enough to fail the whole process. I did not feel the arrogance in the interviewers mentioned in other reviews here. Not all of them made me feel comfortable, but overall they're what you expect from a silicon valley company. Before the application proceeded, I couldn't tell how I did, but I felt that it was a fair process, and definitely a positive experience that left me with a very good impression of Google; If you are good at the fundamentals, be able to show a level of expertise on everything you list in your resume, have spent the time to prepare, and you're not intimidated by relentless questioning, possibly on areas you're not that familiar with, then you have a good chance of satisfying enough interviewers to move on to the next step. Keep in mind that Google affords to be picky so their hiring process tries to minimize hiring bad recruits at the cost of rejecting potentially good ones.

      Preguntas de entrevista [1]

      Pregunta 1

      I got the impression that interviewers are selected depending on what's on your resume. I was asked about heuristics on a specific intractable problem probably because my background included something related. You really need to know your stuff.
      Responder pregunta
      13

      Otras opiniones sobre las entrevistas para el puesto de Software Engineer en Google

      Entrevista de Software Engineer

      4 may 2014
      Empleado anónimo
      Auburndale, FL
      Oferta aceptada
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Solicité el puesto a través de la recomendación de un empleado. Acudí a una entrevista en Google (Auburndale, FL) en abr 2014

      Entrevista

      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."
      2501

      Entrevista de Software Engineer

      7 jun 2026
      Empleado anónimo
      Seabrook, NH
      Oferta aceptada
      Experiencia positiva
      Entrevista fácil

      Solicitud

      Acudí a una entrevista en Google (Seabrook, NH)

      Entrevista

      Had a good interview. Easy problems not leetcode but if you know how to solve problems and use which DSA to use for what problem then you are good.. system design as well.

      Preguntas de entrevista [1]

      Pregunta 1

      Tell me about yourself ?
      Responder pregunta

      Entrevista de Software Engineer

      7 jun 2026
      Candidato de entrevista anónimo
      Los Altos, CA
      Sin oferta
      Experiencia neutra
      Entrevista difícil

      Solicitud

      Acudí a una entrevista en Google (Los Altos, CA)

      Entrevista

      Went with an OA which was pretty easy. Then got to second round (1 coding and 1 behavioral). Both were pretty straight forward. Then got to the onsite. They asked me leetcode hard questions. I was able to do well in one but failed the other one.

      Preguntas de entrevista [1]

      Pregunta 1

      Why do you want to work at Google?
      Responder pregunta

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