Interview went fine in the beginnning but then he shifted to GPU memory architecture and I clearly wasn't strong enough there. Recruiter call first, then a medium coding challenge on arrays. Technical phone was with a GPU software engineer.
Software Engineer
Winter 2025
Accepted
University of Alberta · Electrical Engineering
3rd year · 3.3-3.6 · 3 past internships
TechnicalSlow processMultiple rounds
Usual process. Phone screen then a longer interview, Agile methodology questions and how I handle scope changes. The interviewer was really nice and we ended up just talking about the team for the last 10 minutes.
Data Scientist
Summer 2025
No Offer
Northeastern University · Computer Science
2nd year · 2.1-2.4 · 0 past internships
TechnicalUnexpected Questions
CUDA and GPU memory questions which I was not prepared for as a DS candidate. also Python and ML model selection. Nvidia DS is very different from other companies because of the GPU focus
Machine Learning Engineer
Winter 2025
No Offer
University of Toronto · Computer Science
3rd year · 3.3-3.6 · 1 past internship
TechnicalDifficultStressful
HireVue first, 6 questions 30 sec prep for each, favorite data structure came up then HackerRank had two medium and hard, solved one fully and partially the other and never got to superday.
GPU Engineer
Summer 2026
Accepted
Purdue University · Electrical Engineering
4th year · 3.7+ · 2 past internships
TechnicalMultiple roundsDifficultVirtual
Know your warp execution and memory coalescing if you're applying here. GPU architecture and CUDA across three phone interviews over two weeks. Third round was a project deep dive on parallel computing work.
Software Engineer
Summer 2026
Pending
Northeastern University · Computer Science
Alumni · 0 past internships
Technical
Recruiter reached out. Technical through hacker rank with ms teams link.