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 through college or university. I interviewed at NVIDIA in Oct 2016
Interview
1. Written test
Tough
Conceptual
Digital design
Counters
Melay Moore
Timing analysis
Shortest path
Setup and hold analysis/ violation
Finite state machine
Only looking for approach not final answer
2. Interviews
4:1
Question review
Answering approach
3. Hr test
Not for elimination
I applied through a recruiter. I interviewed at NVIDIA
Interview
I received an email from a recruiter about the position. I had two rounds of phone interviews that were very technical. They asked about basic microelectronics, digital logic, and power optimization.
I applied through college or university. The process took 4 weeks. I interviewed at NVIDIA in Apr 2018
Interview
2 phone interviews and then on site in Santa Clara. Onsite with 6 people, 5 technical, one basic HR talk.
The manager did not seem very interested from the beginning.
Interview questions [1]
Question 1
for phone interviews, basic data structure algorithms.
1. Reverse singly linked list.
Onsite was more difficult with a bit of algorithms, computer architecture, design verification, and OOP.