Glassdoor users rated their interview experience at NVIDIA as 100% positive with a difficulty rating score of 3 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Sr. Machine Learning Engineer and rated their interviews as the hardest, whereas interviews for Sr. Machine Learning Engineer and roles were rated as the easiest.
The hiring process at NVIDIA takes an average of 21 days when considering 1 user submitted interviews across all job titles. Candidates applying for Sr. Machine Learning Engineer had the quickest hiring process (on average 21 days), whereas Sr. Machine Learning Engineer roles had the slowest hiring process (on average 21 days).
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I applied online. The process took 3 weeks. I interviewed at NVIDIA in Dec 2017
Interview
Had a couple of phone screens with the hiring manager and a few engineers on the team. Process took a couple of weeks. Overall, great interview process, nothing to challenging because everything was based on my previous experience (behavioral/technical)
I applied online. The process took 2 weeks. I interviewed at NVIDIA (Portland, OR) in Dec 2017
Interview
Phone interview after applied online , and coding in a shared google doc about Verilog questions. They are medium level and maybe hard to solve without be able to show some of my drawings for the answer
I applied online. The process took 2 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Oct 2017
Interview
HR set up the phone screen, A guy called me and used collabedit to ask me question about how to read a value from a running counter. I told him to use mutex to run the two threads mutually exclusive : one thread for updating(write) the counter and one thread for reading the counter. But he had no idea on how the mutex works. After the phone screen, I also emailed him a sample codes. He never replied.
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