I applied through an employee referral. I interviewed at NVIDIA (Santa Clara, CA) in Jan 2021
Interview
Initial screen with hiring manager, followed by an initial technical screen with the development lead. Both went well and covered more general ML systems knowledge.
Then a "virtual onsite" set of panel interviews with 2 interviewers per session. Some coding tests and some system design and general ML knowledge
Interview questions [1]
Question 1
Coding test included how to split up rows of a table / dataframe across multiple processes and shuffling the data. High level code was ok, didn't have to be completely detailed.
Another coding test was finding maximum depth of a binary tree.
I applied online. The process took 3 weeks. I interviewed at NVIDIA (Munich, Bavaria) in Feb 2026
Interview
So, I had one 45-minute screening where we talked about my experience and went through a couple of practical questions related to it, followed by another 45-minute technical screening with coding. Overall, everything went really well. The interviewers were very friendly and approachable, and I left with a really positive impression. The HR team is excellent: they organize the process smoothly and send information about the next rounds very quickly.
Interview questions [1]
Question 1
The issue was that the interview section was labeled ML Optimization, but I was given a couple of algorithmic coding questions - quite easy, but unexpectedly. I had prepared extensively for the deep neural network optimization round - brushing up torch quantization etc., which is why I was a bit thrown off and less focused when presented with a different type of task.
