NVIDIA·Product Manager·Onsite - Product Sense / Strategy
- How would you approach data curation for an LLM training pipeline?
“Blanked for a second because I came in expecting roadmap or metrics questions, not something this deep in the ML weeds.”
15 Product Managers have shared notes from their NVIDIA interviews, with the questions they were asked in each round. That is 9% of the 166 NVIDIA interview notes on Screna AI.
15 Product Manager interview notes
“Blanked for a second because I came in expecting roadmap or metrics questions, not something this deep in the ML weeds.”
“I knew enough to not embarrass myself but not enough to impress anyone.”
“Wasn't expecting this to come up so directly.”
“Broader than I expected.”
“Broad question, probably meant to see if you actually follow the space.”
“This is four questions stitched into one and I did not treat it that way at first.”
“I picked a project I knew cold but spent too long on the backstory and not enough on what I actually decided and why.”
“I went straight for the GPU side and talked about staying ahead on compute density and software ecosystem lock-in, but in hindsight I think I ignored the networking and enterprise AI infrastructure angle almost completely.”
“Pretty open-ended definition question.”
“This threw me a bit because it sits right at the edge of PM and technical.”