I applied online. The process took 3 months. I interviewed at NVIDIA in Feb 2022
Interview
It was during COVID and it consisted of about 6 video interviews with different members of the hiring team.
Most interviews were a chat about the team's needs and the experience I had on similar issues. They were not very technical.
The process took abut 3 months. Scheduling the interviews was quite disorganized (lots of re-schedules, last minute cancels, etc.). After 3 weeks from the last interview I had to write back to the HR representative because I hadn't heard back from them and had another offer from another company. Company said I was being considered and sent me an offer a few days after that, so not very organized.
Interview questions [1]
Question 1
General chats about team's data needs and my experience with those topics (mostly data analysis, data engineering and ML).
They were not very technical, just a few basic questions on Modeling and Stats.
-Resume selection
-Screening interview with the manager
-Real interview rounds (a total of 5 interviews)
- ML breadth and depth, live coding, behavioral (NVIDIA values), business development, GPU concepts.
The entire process took around 2 months.
Interview questions [1]
Question 1
General machine learning-based questions followed by some tricky queries. Leetcode medium live coding.
I applied through an employee referral. The process took 3 months. I interviewed at NVIDIA (Santa Clara, CA) in Jan 2020
Interview
I was referred by a current employee for the role. Multiple phone screens were given in December 2019. I interviewed on-site in January 2020.
The on-site consisted of 7 interviews, 45 minutes each. Each interview can either be technical, behavioral, or personal.
Interview questions [1]
Question 1
Demonstrate how to build a recommendation system, from beginning to end