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 -
Before the interview, I was given a comprehensive take-home assignment featuring various networking and Linux questions, and I was also required to solve a challenging LeetCode-style technical problem regarding string manipulation
Direct interview round with the hiring manager, where I was asked detailed questions about ROS, real-time operating systems, and system-level design. We discussed my previous hands-on experience, past projects, and how my background aligns with the team’s technical requirements.
Interviewer just asked about my resume and relevant experience. You need to know what does the team you are interviewing does in order to showcase the skills they are looking for.