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 online. The process took 1 day. I interviewed at NVIDIA in Dec 2017
Interview
Applied online and was contacted by a HR personnel after about a month. A phone interview was scheduled. The one on one phone interview was with a very senior employee. The interview was very easy and I answered every question correctly. But did not get the offer.
I applied through an employee referral. The process took 2 weeks. I interviewed at NVIDIA (Santa Clarita, CA) in Oct 2017
Interview
Quick process, very nice experience. The process took 2 weeks. I had code questions about string manipulations and complexity. The interview took one hour on the phone. I also had some questions about my resume.
I applied online. The process took 3 weeks. I interviewed at NVIDIA (San Jose, CA) in Oct 2017
Interview
Process was 1 phone interview then onsite after a week. Onsite interview was unorganized. Interviewers were not sure about the position they were interviewing about. Each interviewer had different perspective about the position. Very technical questions, it's more of sharing my experience and knowing about company and the product. Overall it is wasting every ones time. Suggestion: Be clear about what you want, before inviting for on-site process.