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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The weirdest interview i ever had in my life. The guy didnt even switch his camera on ad started bombarding me from minute one with questions that they want to learn about my current company (competitor of nvidia in the automotive industry). and then after he is done with his questions, said I'm done and closed the meeting.
I applied online. The process took 5 months. I interviewed at NVIDIA (Santa Clara, CA)
Interview
Many interviews with minimal feedback or preparation. Expect to be able to answer hypotheticals on running a program and behavioral questions. Be prepared with times you had to both manage a program and a technical solution.
Interview questions [1]
Question 1
Tell me about a time that you run a program and what were the milestones you used.
I applied online. The process took 4 months. I interviewed at NVIDIA (San Francisco, CA) in Dec 2024
Interview
Two interviews
- Behavioral: Can you describe a challenge you faced and how you overcame it
- Team based: Can you describe different statistical distributions to me; Have you used SQL before; What AI Algorithms are you familar with
Interview questions [1]
Question 1
- Can you describe different statistical distributions to me