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 -
I applied online. The process took 6 weeks. I interviewed at NVIDIA (San Francisco, CA) in May 2024
Interview
1 technical round which included projects reviews, pair coding, and ssa ability questions related to compiler design.
1 Hiring manager round, mostly behavioral and a bit technical
1 HR round discussing more behavioral questions and salary negotiation
Interview questions [1]
Question 1
A leetcode hard type question involving trees with dynamic programming and memoization
I applied through a recruiter. The process took 3 weeks. I interviewed at NVIDIA (Peking, Peking) in Aug 2024
Interview
Four rounds of technology interviews with a positive experience, focusing on the candidate's projects, professional foundation, and coding skills. Each interview lasts about an hour, and the interviewer provides feedback within one or two days. The entire interview process progresses relatively quickly.
I applied through an employee referral. The process took 4 months. I interviewed at NVIDIA
Interview
I was recommended by a friend . They had mandatory requirement of cpp. So I asked for some time they gave time to prepare. In total four rounds covering hiring manager, project python c++ and machine learning