Great company for most people but cannot bring up a new Jensen
Great company for most people but cannot bring up a new Jensen
- Great work-life balance
- Excellent working environment
- The smartest coworkers
- Always care about new tech
- Lazy work for many old employees.
- Low efficiency in solving the problem.
- Bad insight for most products except the GPU.
- Fancy ideas are stopping things from working.
The main problem is that Jensen does not want us to make real products. Therefore, we will never solve the real problems in the real products. If our task is to encourage other companies, it's not possible to do the right things. Maybe in 10 or 20 years, our work will bring some benefits, but I really don't think this is beneficial for a personal career. I prefer to help other people and the whole world with the noticed problems rather than imagined problems. The most important part of R&D is whether there will be a product. For most teams, I don't think making a product is helpful for our company. For example, if we produce a great product, we will reduce the selling of GPUs, as the business bill will be taken by us rather than tier 1. Therefore, I see a dead end for my career at Nvidia unless I choose to stop my lifelong career and just enjoy having fun. NVIDIA has already been the richest company in the world, and it must be a great opportunity for anyone who wants to advance their career. Joining NVIDIA could be one of the best experiences for any person, while leaving NVIDIA will make us great.
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Nvidia Interview Experiences
Software Engineer (Internship)
It takes 2 hours to complete two interview cycles, with each cycle lasting 1 hour. Each cycle includes a self-introduction and a medium/hard LeetCode question. There were not many questions about Nvidia or knowledge beyond the resume.
Deep Learning Software Engineering
The first round involved a single interviewer, while the second round had five interviewers. Both interviews were conducted via telecommunication. The questions were fairly easy, covering both deep learning and algorithms. I am still in the proces
HPC Engineer
The interview process consisted of an initial phone screening, followed by a technical interview focused on HPC concepts, Linux administration, and performance optimization. The communication was clear, and the interviewers were professional througho
Software Engineer (Internship)
Beijing, Beijing, ChinaDecember 30, 2023It takes 2 hours to complete two interview cycles, with each cycle lasting 1 hour. Each cycle includes a self-introduction and a medium/hard LeetCode question. There were not many questions about Nvidia or knowledge beyond the resume.
Deep Learning Software Engineering
Beijing, ChinaJuly 1, 2017The first round involved a single interviewer, while the second round had five interviewers. Both interviews were conducted via telecommunication. The questions were fairly easy, covering both deep learning and algorithms. I am still in the proces
HPC Engineer
Zurich, Zürich, SwitzerlandNovember 22, 2025The interview process consisted of an initial phone screening, followed by a technical interview focused on HPC concepts, Linux administration, and performance optimization. The communication was clear, and the interviewers were professional througho
