NVIDIA Solutions Architect Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 38 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at NVIDIA.
NVIDIA
Solutions Architect
Entry Average Negative experience No offer 1 round
Interview process
Phone screen
Interview formats
Behavioral Technical
Just got the first behavioral interview for new grad, didn’t pass because I didn’t know enough about GPU kernels and in general the recent work at the company. Felt like they wanted someone who basically knows everything about the company and has hands-on experience with their products, which I didn’t have.
Confirmed questions1 question
- Tell me about the NVIDIA products you’ve used or know of. What is it that NVIDIA actually does?
NVIDIA
Solutions Architect
Mid Average Positive experience No offer 1 round About 2 weeks
Interview process
Technical screen
Interview formats
Technical Coding
Applied online and got scheduled for an interview a couple weeks later. The first interview was a technical one with 30 minutes of Hackerrank Python coding and 30 minutes of technical questions about the skills and projects on my resume. The interviewers were very patient and accommodating, overall a chill and positive experience. Time was short and a bit rushed so there wasn’t much time to go deep into projects. Really important to remember STAR so you don’t ramble about projects. Also super important to clearly state the technical work you personally did (be a bit egotistical). In my current role, it’s taboo to use "I" and we are forced to say "we" to push a teamwork mentality, even if you did all the work by yourself. I think this is pretty common, so just remember to drop that and really sell YOU.
Confirmed questions3 questions
- A practical Python function question, more real-world and not really leetcode style.
- Tell us about your GenAI projects and what you specifically contributed.
- LLM technical questions about specific technical details and topics you mentioned on your resume.
NVIDIA
Solutions Architect
Senior Average Positive experience Decline offer 5 rounds About 4 months
Interview process
Phone screen Onsite Offer
Interview formats
Behavioral Technical
Had three phone interviews that mostly focused on my previous projects and clarifying what the role would be. After that I had two on-site visits in Santa Clara where I met a total of eight different people. The whole process was really fun and engaging and I was pretty excited when they started setting up salary negotiations. But their on-boarding recruiter took a long time to arrange meetings, forgot them several times, and used “negging” and manipulation as a negotiation tactic so I decided to go somewhere else.
Confirmed questions1 question
- How would you go about finding training images that were misclassified by a convolutional neural network (for example, locate all images with cats that the model didn’t classify as cats)?
NVIDIA Solutions Architect Interview Questions
Quoted word for word from NVIDIA interview reports.
“What is the formula for Gradient Descent?”
Read reports →“What is the formula for Convolutional Neural Networks?”
Read reports →“Given a 500 x 500 x 3 image and 100 filters of size 5 x 5, what would the resulting output be?”
Read reports →“How would you efficiently compute the sum of a large array?”
Read reports →“What are the pros and cons of neural networks?”
Read report →“Explain the differences between a traditional CNN, a ResNet, and an Inception network.”
Read report →“How would you go about finding training images that were misclassified by a convolutional neural network (for example, locate all images with cats that the model didn’t classify as cats)?”
Read report →“Q: Why do you need to use the scikit-learn library?”
Read report →“Can you explain to me how a Deep Neural Network works?”
Read report →Formats, difficulty and experience
Across all 38 NVIDIA interview reports.