GPGPU is a promising area to work on, and NVIDIA is second to none in this area. There are lots of exciting projects, both closed and open source.
Very flexible work environment: people can choose freely to work remotely, which is not common for companies in China.
As stock prices go like crazy, the pay is competitive.
There's not much to complain about. One thing I can think of is that the office and canteen maybe need some improvement. Unlike other tech giants, there is no gym inside the office.
The interview process consisted of a total of 3 rounds: * A technical round * Another technical round * An HR round The technical rounds went on for a long time and mostly included questions relating to computer architecture and competitive c
We first discuss my related projects. We discuss LLM, diffusion, and RL. Finally, we conduct a quick code test and write some basic deep learning code. We talk about the works at NVIDIA.
The interview process consists of two rounds. The first round involves coding and a basic knowledge of C++ with one interviewer. The second round has three interviewers and no coding. It focuses on technical knowledge, including networking, C++, C,
The interview process consisted of a total of 3 rounds: * A technical round * Another technical round * An HR round The technical rounds went on for a long time and mostly included questions relating to computer architecture and competitive c
We first discuss my related projects. We discuss LLM, diffusion, and RL. Finally, we conduct a quick code test and write some basic deep learning code. We talk about the works at NVIDIA.
The interview process consists of two rounds. The first round involves coding and a basic knowledge of C++ with one interviewer. The second round has three interviewers and no coding. It focuses on technical knowledge, including networking, C++, C,