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 -
First interview included General questions, as well technical and afterwards was a short coding test. A lot of questions were asked from the CV. Technical questions included topics like Git, OS, C++ etc.
I applied online. The process took 3 weeks. I interviewed at NVIDIA in Mar 2024
Interview
2024 New grad role. First round is split into two 45min technical interviews with a hiring manager and a team lead, focusing on your relavant experiences (school projects and internships), and the fundamentals of data structure and computer architecture. Second round is with another hiring manager who also tested me on data structures and cpu/ gpu knowledge. I didn't have much experience in computer architecture except that I know gpu programming and a little bit of gpu architecture. I got rejected in the end.
I applied through an employee referral. The process took 2 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Mar 2022
Interview
Zoom meeting with the hiring manager discussing resume and projects. One technical interview with a senior engineer on the team, pair programming style. No additional interviews needed for the internship.
Interview questions [1]
Question 1
Find the unique element in an array where all elements are included in the array twice except for one element.