Development at NVIDIA is fast-paced. As a general rule, the engineers are smart and have a lot to teach.
The benefits are pretty good, and the stock compensation still generates substantial value for employees.
NVIDIA has been having growing pains. Many engineers were hired as a result of the success of the Tesla chips, and it took a lot of time for them to ramp up.
Other infrastructure (IT, internal web services, development process) are still lagging behind and are more or less unchanged from when the company was 1/4 of the current size.
Also, during the recession, many benefits were cut or downsized, and they show no signs of returning.
Make NVIDIA one of the best places to work again by making it easy to work here:
I was contacted by a recruiter after applying. Then, all correspondence seemed like boilerplate scheduling emails; I don't think the recruiter/scheduler spent any time crafting custom responses. I did an initial informational/technical screening, fo
The first process is talking to the manager. He will talk to you about the position and what the group does. Then, ask what experience you have that is common.
Applied through LinkedIn. Had an initial phone screen that went in-depth into ML theory. The interviewer was friendly and gave me lots of hints, but I felt that I didn't do well.
I was contacted by a recruiter after applying. Then, all correspondence seemed like boilerplate scheduling emails; I don't think the recruiter/scheduler spent any time crafting custom responses. I did an initial informational/technical screening, fo
The first process is talking to the manager. He will talk to you about the position and what the group does. Then, ask what experience you have that is common.
Applied through LinkedIn. Had an initial phone screen that went in-depth into ML theory. The interviewer was friendly and gave me lots of hints, but I felt that I didn't do well.