Internia

NvidiaInterview Experiences

Software Engineer

San Jose, CA· Summer 2026

No Offer

University of Michigan · Computer Science

3rd year · 3.3-3.6 GPA · 1 past internship

Hard Interview

TechnicalVirtual

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. 1.“What makes Nvidia stand out to you as an employer”
  2. 2.“What's the difference between a build artifact and a container image?”

Software Engineer

San Jose, CA· Winter 2025

Accepted

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. 1.“What is concurrency and how does it differ from parallelism?”
  2. 2.“How do you detect a cycle in an undirected graph”

Data Scientist

San Jose, CA· Summer 2025

No 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. 1.“How would you detect if a model is suffering from data leakage?”
  2. 2.“What is transfer learning and when is it preferable to training from scratch?”

Machine Learning Engineer

San Jose, CA· Winter 2025

No 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. 1.“Write a SQL query to find the top 3 products by revenue in each region.”
  2. 2.“Explain the attention mechanism in transformer-based models”

GPU Engineer

San Jose, CA· Summer 2026

Accepted

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. 1.“Tell me about a time you optimized a system for both low power and good performance”
  2. 2.“Explain what a context switch involves at the CPU level.”

Software Engineer

Summer 2026

Pending Outcome

Northeastern University · Computer Science

Alumni · 0 past internships

Technical

Recruiter reached out. Technical through hacker rank with ms teams link

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