I applied online. The process took 4 months. I interviewed at NVIDIA (Santa Clara, CA)
Interview
Had three phone interviews that mainly focused on my past projects and clarifying the role. I then had two on-site visits in Santa Clara with a total of eight different people. The entire process was really enjoyable and engaging and I was excited when they started scheduling salary negotiations. Unfortunately their on-boarding recruiter took a long time to set up appointments, forgot them multiple times, and used "negging" and manipulation as a negotiation tool so I ended up choosing to go elsewhere.
Interview questions [1]
Question 1
How would you begin searching for training images that were misclassified by a convolutional neural network (e.g. find all images with cats that were not classified as cats)?
I applied through a recruiter. I interviewed at NVIDIA (Washington, DC) in Feb 2026
Interview
The process is very long and there is no feedback of any kind. Even once you have completed one panel interview (there were 6 for me), there is no communication from the recruiters. 3 or 4 or 5 weeks go by and crickets. Emotionally taxing trying to balance wanting to work at Nvidia and also trying to consider other jobs and companies.
Interview questions [1]
Question 1
would love your thoughts on this transition from moving from a role of senior leadership to now applying to an IC rule. Are you prepared for the transition and how do you see that working out?
The process took 2 months. I interviewed at NVIDIA
Interview
First a call with the hiring manager then a panel round with four senior solutions architects. Then a final call with the recruiter. A couple weeks in between each round.
Interview questions [1]
Question 1
How would you describe __ technology to a non-technical person?
I applied through an employee referral. The process took 3 weeks. I interviewed at NVIDIA in Sep 2024
Interview
There are a total of seven interview rounds, all of which are technical. Even the discussions with leadership are technical, so be well-prepared. The topics range from detailed architecture discussions to deploying LLM models in a cost-effective manner. I found that taking the Mastering LLM interview preparation course helped me a lot.
Interview questions [1]
Question 1
Questions around Quantization, inference optimization , LLM system design