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 1 week. I interviewed at NVIDIA in Sep 2024
Interview
Initial screen for an engineering position on a ML team just asking about my experience and trying to determine if I was a good fit for the position. Some technical moments, asked questions about specific projects. Was pretty blunt about the requirements of the position and it didn't really feel like a good fit.
Interview questions [1]
Question 1
Can you tell me about a project in which you had to deal directly with the GPU to optimize ML inference?
I applied online. The process took 4 weeks. I interviewed at NVIDIA (Taipeh)
Interview
I only passed 4 stages.
You will meet your hiring manager as well as the colleagues all over the world.
You will discuss the jobs and the future of the service and product in Nvidia.
I applied through college or university. The process took 3 weeks. I interviewed at NVIDIA (Hyderabad)
Interview
It was OK ok type.It was a normal interview.There were 3 person in interview. Two of them were asking questions .They asked me 5 questions. One question was from the written test.One question was from verilog.
Interview questions [1]
Question 1
.They asked me to draw a Circuit to a given in put out put wave from along with a clock pulse.