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 a staffing agency. I interviewed at NVIDIA
Interview
Very easy. First round is aptitude followed by a F to F interview. The attitude comprises of 15 logical images
which are a little bit easy . Brief introduction about yourself and project if you have experience
I applied through college or university. The process took 1 day. I interviewed at NVIDIA (Bengaluru) in Jul 2018
Interview
First round was written test consisting of basic aptitude questions, logical, quants and verbal. And some technical questions from C++ java OS and DBMS. There was also negative marking so you need to be careful.
I applied through college or university. The process took 1 day. I interviewed at NVIDIA (Boston, MA) in Oct 2018
Interview
Good experience. Interviewer was good to talk to. ASIC Verification needs a good object oriented programming background. Prepare your OOP concepts well. Also study basic computer architecture concepts. All the best!
Interview questions [1]
Question 1
Data Structures:
Linked Lists , Binary Search Tree Concept and Complexity. Hash Tables in C++/Python.
C++:
Private vs Public
Pass by Value vs Pass by Reference
Pointer vs Reference
Computer Architecture:
Pipelining
What is Cache & Cache Performance (Hardware & Software)
Cache Architecture
Virtual Adress
Address Translation
TLB
Explain your Class/Internship Project