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 -
A completely normal process: submitting a resume via the website, a phone call with a recruiter, and scheduling an interview. Then a professional interview, and if you pass, another professional interview.
Interview questions [1]
Question 1
implement the function using simple gate f=(abc')'
I applied online. I interviewed at NVIDIA (Ra`ananna)
Interview
Good experience, professional interviewers, they explain about the position and responsibilities, basically questions related to k8s, qemu/kvm, cpp tool chain, Ansible, splunk, jjb, docker on windows, nexus, docker compose, linked list, networking bgp protocol, etcd high availability
on call about sql optimization and other technical question. Given a situation how would you setup database and UI so that it can handle read only data and write data.