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
Interview
Surprisingly HR responded 2 days after my application. Got a phone call within a week. The position required a UVM expert. The interviewer mainly focused on UVM and verification basics apart from some text book Qs.
Phone Interview Qs (mostly UVM):
1. Describe verification framework of a design
2. Why do you need a Monitor when you can do the same using a Driver
3. How do you connect components, different types of ports
4. What ports would you use in a monitor, scoreboard
4. Difference between define and enum
5. Synchronization/communication b/w processes, give an example
6. What is UVM, and why UVM
7. How to print messages in UVM
8. Associative arrays
9. Virtual interfaces, why do you need them
10. Types of fork join
Interview questions [1]
Question 1
Benefits of a monitor: Interviewer had a problem understanding my response.