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 -
First I had a call to check if I fit this job . Than I had 3 interview’s technical questions and than I was waiting for job offers . The a are not so hard
Interview questions [1]
Question 1
Ffs - implement it in rtl including 8 elements including how to test your answer . Find first set . First implement with gates than with system verilog there is many ways to solve this q
I applied through college or university. I interviewed at NVIDIA (Bhubaneshwar) in Aug 2023
Interview
Online test with mcq questions.
OT questions were from programming basics and Electronics theory.
Timing diagram , output of code snippets.
4 students were selected for interview out of which two were selected.
Interview questions [1]
Question 1
In the interview they asked me to make a D-flip flop using 2*1 mux.
the interview was two rounds, the first round was technical questions that covered basic vlsi questions like transistor sizing, dynamic power, desiging logic functions, the second round was more of behavorial questions like why do you want to work here what interests you in this positinos.. etc