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      NVIDIA

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      Computer Vision Engineer Interview

      27 Sept 2018
      Anonymous interview candidate
      No offer
      Positive experience
      Average interview

      Application

      I applied through other source. The process took 2 months. I interviewed at NVIDIA in Sept 2018

      Interview

      There were three phone screening interviews for the background check, simple probability question, and simple coding problem (not the algorithm one). And they invited me to the office, there were several 1-on-1 interviews about 5 hours. All the interviewers asked me some questions about coding/geometry.

      Interview questions [1]

      Question 1

      Given a set of noise points which are drawn from a circle (actual input is a binary image), write a function to estimate the circle.
      Answer question

      Other Computer Vision Engineer interview reviews for NVIDIA

      Computer Vision Engineer Interview

      21 Dec 2022
      Anonymous interview candidate
      No offer
      Positive experience
      Easy interview

      Application

      I interviewed at NVIDIA

      Interview

      nice people, didnt get the job, wasnt prepared, next time it will be better, easy, 30 words is a lot are you serious? a few more words might help, is it enought already? i dont know

      Interview questions [1]

      Question 1

      how you get connected componnent in binary image
      Answer question

      Computer Vision Engineer Interview

      1 Mar 2020
      Anonymous employee
      Santa Clara, CA
      Accepted offer
      Positive experience
      Average interview

      Application

      I interviewed at NVIDIA (Santa Clara, CA) in Dec 2019

      Interview

      Two telephonic rounds. Four onsite rounds + one lunch interview. Leetcode algorithm and data structure based questions. C++ mandatory in all interviews. Some brief discussion/questions on computer vision and machine learning/deep learning.

      Interview questions [1]

      Question 1

      Design a matrix class with add and multiply support. Follow up: How to convert this class for sparse matrix.
      Answer question

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