HPC Engineer applicants have rated the interview process at NVIDIA with 3.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 58.1% positive. This is according to Glassdoor user ratings.
Candidates applying for HPC Engineer roles take an average of 14 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at NVIDIA overall takes an average of 25 days.
Common stages of the interview process at NVIDIA as a HPC Engineer according to 3 Glassdoor interviews include:
Skills test: 43%
One on one interview: 29%
Phone interview: 14%
Personality test: 14%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 1 week. I interviewed at NVIDIA (Santa Clara, CA) in Mar 2024
Interview
5 rounds of 1-1 interview, 1 round with group director. 1 round with manager. 3 rounds with peers. technical questions regarding CUDA, GPU, Coding optimizations and general questions regarding past experiences on Parallel computing, scientific computations.
The interview process consisted of an initial phone screening followed by a technical interview focused on HPC concepts, Linux administration, and performance optimization. The communication was clear, and the interviewers were professional throughout.
Interview questions [1]
Question 1
What performance tools or methods do you use to diagnose bottlenecks on an HPC cluster?
I applied online. The process took 3 weeks. I interviewed at NVIDIA in Mar 2024
Interview
Single zoom interview with the team lead. One hour interview, mostly questions about Linux and previous experience. Includes remote connection to a terminal on a cloud instance to run linux commands to do specific tasks.
Interview questions [1]
Question 1
What do three numbers for load average mean in the output of "top" command?