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 through an employee referral. I interviewed at NVIDIA
Interview
After initial conversation with the recruiter, I met with quite a few of the HRBP team. I didn't receive communication from the recruiter about the process proactively and mainly interacted with the coordinator who was scheduling interviews.
it was seconed interview
the first was about bitwise operation and implentig queue .
this one which is the second they asked about myself and project i have done and qestion about the porject . and one technical qestion
Interview questions [1]
Question 1
// get_time() -- return local system time
#define MAX_ERROR 5
#define TIME 10
// rc can be 0 or 1. 0 - good, 1 - error.
while (1) {
bool rc = doSomething();
checkRC(rc);
}
// Exit Program, if errors > MAX_ERROR in last TIME seconds
void checkRC(bool rc)
{
}
I applied through an employee referral. The process took 3 weeks. I interviewed at NVIDIA in Sep 2024
Interview
There are a total of seven interview rounds, all of which are technical. Even the discussions with leadership are technical, so be well-prepared. The topics range from detailed architecture discussions to deploying LLM models in a cost-effective manner. I found that taking the Mastering LLM interview preparation course helped me a lot.
Interview questions [1]
Question 1
Questions around Quantization, inference optimization , LLM system design