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).
Here are the most commonly searched roles for interview reports -
The interview was great! Met with 4 people. Thought it went well. Did not hear back for 3 weeks so I reached out to recruiter for update. I received rejection email shortly after that.
Interview questions [1]
Question 1
How do you navigate thru office politic / disagreement?
2 nice DevOps team members, introduced the company and the job position, asked about my current job, and a technical question about inheritance in a class, and how to implement palindrome.
Interview questions [1]
Question 1
inheritance in a class, and how to implement palindrome.
I applied online. I interviewed at NVIDIA (Bengaluru)
Interview
There were 5 rounds
Initial screening - 1 hour with Hiring manager
On-site interviews - 4 rounds with other team members.
Overall difficulty level is average.
One or two rounds based on the resume
Interview questions [1]
Question 1
Behavioral - What is something new you have introduced in your organization.