Just finished the NVIDIA Enterprise AE loop. Took about 6 weeks total. Sharing because I couldn't find much on this side of NVIDIA recruiting when I was prepping.
The process: recruiter screen, then a call with the hiring manager (40 min, mostly background + why NVIDIA), then a panel day with 4 rounds back to back.
The panel was: A territory planning exercise. They gave me a fake account list and asked me to rank where I'd focus and why. This was 30 minutes with a slide deck I had to build 48 hours before. A mock discovery call with a technical buyer (one of the SEs on the team playing the role). They're testing whether you can ask intelligent questions about their GPU infrastructure, not whether you know CUDA. I spent 2 days reading NVIDIA's enterprise AI/data center pitch materials before this. A deal review. Walk us through a complex deal you closed. They wanted to understand my sales cycle, who the stakeholders were, how I handled procurement, how long it took. Be ready to go deep. A behavioral loop with HR covering company values.
What I noticed: NVIDIA sales interviews are more technical than most enterprise AE interviews. They're not expecting you to know GPU architecture but they DO expect you to have a point of view on the AI infrastructure space. I talked about GPU cluster sizing, inferencing vs. training workloads, and why customers care about NVLink vs. standard interconnect. That stuff landed. Generic SaaS sales answers did not.
Comp: offer came in around $160k base, OTE at $280-300k depending on attainment. Equity was RSUs with a 4-year vest, worth about $180k at grant. That's for an Enterprise AE targeting data center / AI accounts, SF Bay Area.
Feel free to ask specifics.