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 3 weeks. I interviewed at NVIDIA in Nov 2023
Interview
The interview process was seamless and well-organized. The recruiters were incredibly supportive and proactive, providing guidance at every stage. Their willingness to assist made the entire experience positive and stress-free.
the process is simple, you send the cv and if they are interested they ask you some dates to do the interviews. in my case there were 3 x 1hour each. Questions were about algorithms and some c++ constructs
Interview questions [1]
Question 1
template metaprogramming to calculate the factorial of a number N.
I applied online. The process took 2 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Sep 2024
Interview
Applied online, got reached out within a week, had two rounds of online interviews then got rejected. Asked standard computer architecture questions and some cache-specific questions. Also asked about interconnect.
Interview questions [1]
Question 1
Computer architecture, cache coherence, CPU design, pipelining