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).
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I applied online. The process took 1 week. I interviewed at NVIDIA (New York, NY) in Feb 2015
Interview
Excellent all the way through - great office, nice people. I enjoyed the water provided - very refreshing indeed. The staff were particularly nice and the interior design inspired some vibrant conversation.
I applied through college or university. The process took 2 days. I interviewed at NVIDIA (Ahmedabad) in Aug 2017
Interview
Written test was followed by an interview. Basic electronics, VLSI and Digital electronics questions were asked.
The panel was of three people:
Mr. M (Director)
Mr. P (HR)
Mr. B (Manager)
Of these, M and P sat in one room (let's call it room-1) and interviewed half of the students while B (room-2) was in another room and interviewed the remaining half. The duration of interview in both the rooms was almost same, ranging from 35 to 40 minutes. After the interview, candidates had to wait in another room, which did not let the remaining candidates interact with them.The pattern of questions was, however, quite different, which is described below.
Interview questions [1]
Question 1
Q: You have two diodes, how do you design AND & OR gate using those?
- What do you understand by fan-out? * (Discussion of fan-out went on for at least 15-20 minutes. The questions that followed were based on the replies that I gave. It's quite similar to a viva you see!)
- On what parameters does fan-out depend? Does it only depend on current?
- Can you relate fan-out with input impedance/ capacitance?
- Do you choose FET over BJT for the reason that it has higher input impedance or on basis of some other parameter and input impedance of FET just happens to be high?
- Does fan-out depend on frequency?
- If frequency is kept same and the input capacitance is varied, what effect would you see on the circuit?
I applied online. The process took 4 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Oct 2017
Interview
Applied online for a university graduate role. I was contacted several months later and had a phone interview with a software engineer on the team I would be working for. I passed that and was flown to the office for 7 45 minutes interviews with each member of the team.
Interview questions [1]
Question 1
Create a synchronization barrier for a multithreaded task.