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. I interviewed at NVIDIA (Indi, Karnataka) in Mar 2014
Interview
Mostly questions around your previous work. Design, verif environment and basic design techniques etc. Another round was mostly on digital design basics, synthesis, timing and DFT basics. Questions like setup/hold time etc
Interview questions [1]
Question 1
Design a async fifo for a given freq and throughput.
I applied through an employee referral. I interviewed at NVIDIA (Bengaluru) in Jan 2016
Interview
Asked mostly on SystemVerilog, VERILOG, and Universal Verification Methodlogy and Digital logic design questions. First round was telephonic round. Later they called for face to face round. It had four rounds. All were based on the above mentioned things
Interview questions [1]
Question 1
QUestions were very simple like given a program whats is the output, phases in UVM, implementimg gates using muxes etc.
I applied online. I interviewed at NVIDIA (Santa Clara, CA) in Jun 2017
Interview
I got 1 Phone interview. They asked me question about my experience in computer vision and deep learning and their job responsibility. Now I am waiting other team's phone interview.