NVIDIA Deep Learning Network of Autonomous Driving interview questions
based on 1 rating - Updated Nov 18, 2016
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Deep Learning Network of Autonomous Driving applicants have rated the interview process at NVIDIA with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 58.1% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at NVIDIA as a Deep Learning Network of Autonomous Driving according to 1 Glassdoor interviews include:
Phone interview: 100%
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I had two phone technical interviews. One mostly asked about my research and asked machine learning questions. The second one asked about the general technical questions on autonomous cars and their projects.
Interview questions [1]
Question 1
If there is a wheelchair robot and we want to control it remotely, what is the speed of each wheel if it wants to go on a curved path (given that the distance between the wheels is 1 meter)