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
Questions Asked
1.“What makes Nvidia stand out to you as an employer”
2.“What's the difference between a build artifact and a container image?”
Software Engineer
San Jose, CA
Winter 2025Accepted
University of Alberta · Electrical Engineering
3rd year · 3.3-3.6 GPA · 3 past internships
Average Interview
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
Questions Asked
1.“What is concurrency and how does it differ from parallelism?”
2.“How do you detect a cycle in an undirected graph”
Data Scientist
San Jose, CA
Summer 2025No Offer
Northeastern University · Computer Science
2nd year · 2.1-2.4 GPA · 0 past internships
Hard Interview
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
Questions Asked
1.“How would you detect if a model is suffering from data leakage?”
2.“What is transfer learning and when is it preferable to training from scratch?”
Machine Learning Engineer
San Jose, CA
Winter 2025No Offer
University of Toronto · Computer Science
3rd year · 3.3-3.6 GPA · 1 past internship
Hard Interview
TechnicalStressful
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
Questions Asked
1.“Write a SQL query to find the top 3 products by revenue in each region.”
2.“Explain the attention mechanism in transformer-based models”
GPU Engineer
San Jose, CA
Summer 2026Accepted
Purdue University · Electrical Engineering
4th year · 3.7+ GPA · 2 past internships
Hard Interview
TechnicalMultiple roundsVirtual
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
Questions Asked
1.“Tell me about a time you optimized a system for both low power and good performance”
2.“Explain what a context switch involves at the CPU level.”
Software Engineer
Summer 2026Pending Outcome
Northeastern University · Computer Science
Alumni · 0 past internships
Technical
Recruiter reached out. Technical through hacker rank with ms teams link