Nvidia Machine Learning Engineer Interview Experience
Nvidia · Intern
ResultRejected
Timespan4 weeks
DifficultyEasy
Rounds2
Interview process
Interviews went well. Company found a better candidate. I got very good feedback from my interviewers though.
Interview rounds · 2
- 1
Technical round
Q1. LLM inference engines questions.
Follow-up questions- How would you categorize LLM workloads?
- 2
Final / onsite round
In this round, my past and current research was inquired in detail and I was asked to explain each and every part in detail. We then went through the details of the project and how I would solve the tasks when given.
- Q1. In this round, my past and current research was inquired in detail and I was asked to explain each and every part in detail. We then went through the details of the project and how I would solve the tasks when given.
Tips from the candidate
Prepare basics of LLM training and inference. Also, systems level engineering is something I was well aware of, so that'll help as well.
Company culture
The overall company vision is very good and the growth is also steady.
Details
CompanyNvidia
RoleMachine Learning Engineer
LevelIntern
LocationUnited States
InterviewedJan 2026
Questions asked2