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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Great process, but a long one. Interviews were great for me, engineers were fair, but expect difficult questions. Don't panic, try to keep a conversation flowing even if you you don't know/remember how to correctly answer the question.
I applied through college or university. The process took 2 weeks. I interviewed at NVIDIA (Pune) in Mar 2024
Interview
So, basically I was shortlisted through On campus . They first conducted the shortlisting through CGPA . Then the OA was conducted which consisted questions related to aptitude , DBMS, OS and 2 coding questions ,one in C++ and the other one in C.
I was selected for interview process along with 30 others.
Interview questions [1]
Question 1
The panel consisted of 3 persons. They asked me to introduce myself and we discussed projects, which lasted about 20 minutes . then the question related to Operating Systems and 2 coding questions on LinkedList and arrays .which were LeetCode medium level. Then they asked various questions about OOPs , relate to class , object , polymorphism ,inheritance, abstraction , access modifiers , virtual , friend , static keyword. The difference between class and structure , Enum and constant .Then the interviewer asked me if I had some queries.
Typical interviews. First a recruiter call, then a technical phone screen, then an onsite with 4 interviewers. Two were coding, one was a domain knowledge, one was a hiring manager chat.