Solutions Architect applicants have rated the interview process at NVIDIA with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 44% positive. To compare, the company-average is 58.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Solutions Architect roles take an average of 39 days to get hired, when considering 25 user submitted interviews for this role. To compare, the hiring process at NVIDIA overall takes an average of 25 days.
Common stages of the interview process at NVIDIA as a Solutions Architect according to 25 Glassdoor interviews include:
One on one interview: 26%
Phone interview: 23%
Skills test: 11%
Background check: 9%
Group panel interview: 8%
Personality test: 8%
Presentation: 6%
IQ intelligence test: 4%
Drug test: 4%
Other: 2%
Here are the most commonly searched roles for interview reports -
I applied through other source. The process took 6 weeks. I interviewed at NVIDIA
Interview
I was contacted by the Hiring Manager via Linkedin. We had several phone/video calls, including one with a high level presentation of a personal project.
I was then invited onsite for a day of interview. There were 6 rounds + lunch, covering 1h technical presentation, coding, deep learning, high level knowledge of Nvidia deep learning software, and leadership assessment.
All interviewers were very nice, and the impact of Nvidia is huge. Engineering culture looks great.
Interview questions [1]
Question 1
Describe the attention mechanism e.g. in the NLP context (+ discussion about tensorrt)
Code a function f : (X_train, Y_train and X_test) -> Y_test for a ML problem of your choice (e.g. implement logistic regression) + discussion about evaluation metrics
Reverse linked list
Given a string, remove all b's and change all a's into aa's (do it in-place)
I applied online. I interviewed at NVIDIA (Seoul) in Jun 2026
Interview
Friendly, mostly based on technical aspects, although the interview with senior management involved an understanding of high-level company strategy. A deep understanding of NVIDIA hardware is needed, but this is widely available on the internet.
Interview questions [1]
Question 1
Describe the structure of the NVL72 as best as you can.
L'objectif est de passer devant différents membres de la futur équipe afin d'évaluer les compétences techniques ainsi que le futur relationnel avec l'équipe. Plusieurs entretiens techniques sont attendus avec différentes séniorités
Was asked many AI-related questions. It is clear NVIDIA has a focus on AI competency, even if you aren’t working within an AI-related role. Overall, a challenging interview. Passion is a must.