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      NVIDIA

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      PARALLEL COMPUTING SOFTWARE ENGINEER Interview

      12 Mar 2015
      Anonymous interview candidate
      No offer
      Positive experience

      Other PARALLEL COMPUTING SOFTWARE ENGINEER interview reviews for NVIDIA

      PARALLEL COMPUTING SOFTWARE ENGINEER Interview

      24 May 2014
      Anonymous interview candidate
      No offer
      Positive experience
      Easy interview

      Application

      I applied online. The process took 1 week. I interviewed at NVIDIA in May 2014

      Interview

      An interview was planned on skype with the chief of the team recruiting. Very nice and polite interview. I've been given an overview of all the kind of positions available in NVIDIA, then a more detailed description of the job proposed. This was very interesting and gave me a good idea of the internal structure of that company. Some job description can be very vague, such that you don't have a clear idea of what the job might be. It allows the interviewer to ask you what would you like to do, on an daily basis, in your work. The job was not in the domain I expected, and I've been honest, saying that I doubt that this job would interest me. The interviewer said he will transmit my resume to other team that might be more focused on my expertise domains.

      Interview questions [1]

      Question 1

      Not so unexpected or difficult, but one should prepare such questions: - what do you want to do everyday in your work - where are you good at right now? where will you be good at soon?
      Answer question
      1
      Difficult interview

      Application

      I applied through an employee referral. The process took 4 weeks. I interviewed at NVIDIA

      Interview

      The process was long and grueling, consisting of 3 phone interviews, 2 programming tests, and a 6-hour onsite with lots of technical questions, but it was also exciting in how much I learned. Received rejection notice about 10 days after onsite.

      Interview questions [1]

      Question 1

      Lots of questions about GPU architecture, fundamental parallel algorithms, big-O work/cost efficiency analysis. General questions about considerations needed to optimize code on a hardware/operating system level (e.g. how does instruction-level parallelism work? how does virtual memory work?).
      Answer question
      8