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 6 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Mar 2018
Interview
An HR contacted me for scheduling an interview. The whole process was made up of 3 phone interviews, two with the engineers in the team and one with the manager. All the interviews were technical and the result took more than 2 weeks after the last interview to come out. The interviewers were friendly and let your time to think the answer.
I applied through an employee referral. The process took 3 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Feb 2018
Interview
Technical Round 1 : Operating System related questions, basic C concepts, Resume overview
Technical Round 2 : Operating System related questions(Process Management, Memory Management, Concurrency), Data Structures, Bit Manipulation, basic C++ Concepts
I applied online. The process took 2 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Mar 2018
Interview
Phone interview with manager. He is nice and talks a lot on the project that the team is working on, with related clear description on what kind of people he wants to hire.
Interview questions [1]
Question 1
Basic about architecture, OS. Some programming language features related with C/C++.