Taro Logo

Deep Learning Network of Autonomous Driving Interview Experience

November 18, 2016
Positive ExperienceNo Offer

Process

I had two technical phone interviews.

One mostly asked about my research and included machine learning questions. The second interview focused on general technical questions about autonomous cars and their projects.

Questions

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.)

Was this helpful?

Interview Statistics

The following metrics were computed from 1 interview experience for the Nvidia Deep Learning Network of Autonomous Driving role in United States.

Success Rate

0%
Pass Rate

Nvidia's interview process for their Deep Learning Network of Autonomous Driving roles in the United States is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive100%
Neutral0%
Negative0%

Candidates reported having very good feelings for Nvidia's Deep Learning Network of Autonomous Driving interview process in United States.

Nvidia Work Experiences