Glassdoor users rated their interview experience at NVIDIA as 100% positive with a difficulty rating score of 3 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Sr. Machine Learning Engineer and rated their interviews as the hardest, whereas interviews for Sr. Machine Learning Engineer and roles were rated as the easiest.
The hiring process at NVIDIA takes an average of 21 days when considering 1 user submitted interviews across all job titles. Candidates applying for Sr. Machine Learning Engineer had the quickest hiring process (on average 21 days), whereas Sr. Machine Learning Engineer roles had the slowest hiring process (on average 21 days).
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. The process took 1 week. I interviewed at NVIDIA (New York, NY) in Aug 2016
Interview
Applied through university as well as recruiters. Don't know how resume reached manager.
2-3 rounds depending on manager.
1st round resume and general VLSI -- Manager
2nd round even more VLSI and some coding -- Sr. Engineer
Both phone rounds.
Interview questions [1]
Question 1
All STA, Physical Design, timing power optimization questions.
C++ , perl knowledge required
I applied through a recruiter. The process took 3 weeks. I interviewed at NVIDIA (Santa Clara, CA) in Aug 2016
Interview
On Campus. The process took 3 weeks. Had 3 rounds back to back for 45 minutes each. Last round stretched a bit for more than 1 hour. Had healthy conversations with the interviewer. Algorihmic knowledge tested, concepts on Machine Learning and Deep Learning were asked. Was asked about the projects on the Resume in detail. Got the result in 2 weeks duraction after following up with HR.
Interview questions [1]
Question 1
1. Expression Tree given as input. Evaluate the expression.
2. Counting the number of ways to climb a ladder.
3. A problem on Template Matching - Computer Vision.
4. Few Machine Learning Concepts - explaining algorithms.
5. Many Deep Learning Concepts - explaining the details on how training is done.
6. Coin change problem.
7. Resume based questions and was ask to code an algorithm implemented in one of my projects.
I applied through college or university. I interviewed at NVIDIA (New York, NY) in Apr 2016
Interview
I interviewed for the internship position while pursuing my MBA. Was three phone calls with PMs of increasing position. They tested my leadership, product and marketing experience. Took a week to complete
Interview questions [1]
Question 1
How do you get people in cross functional teams to work for and with you