No so good to work for long time, but Ok for getting some experience of NVidia technologies - Senior Data Scientist NVIDIA Employee Review

2.0
Oct 17, 2018
Recommend
CEO approval
Business Outlook

Pros

I studied some technologies (including Big Data). Flexible schedule.

Cons

Very bad life-work balance (many engineers have to work more than 10 hours per day). Non-effective management (mostly small tasks and engineer cannot control the plan of the tasks, but instead had to follow existing plan that could be bad). Most of the local (Moscow) managers doesn't value workers, but indeed follow the rule: "if I don't like him, then he will go and I will find other" (as result, you have both US Startup work style of 10 hours per day and Russian style of "only friend of manager will get interesting tasks and benefits"). Could be compared with small Startup companies (no good planning, changing plans often, overall being stressful). Sometimes bad things happen: could be forced working on non-critical low-priority task that have no solution and then as result being fired at the end for slow working on this task. The salary about ~10-20% less, than similar senior positions in Russian big companies and don't expect rise (if not a friend of managers). Personally I wanted to study Cuda, but managers forbidden it for me (because had to be focused on Hadoop only), so practically studied it during next job in other Company. Still having some contacts with this Company (now being in other Company and using Cuda) and when I see the solutions from outside (even made by developers from non-Moscow offices), it looks like solutions are too complex and made in hurry, so hard to use it (and for me the reason of that looks like people in Company being afraid for their position, so trying make it complex and both so hurried, so only them can support it).

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5.0
Jun 13, 2026
Recommend
CEO approval
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Pros

Salary especially if joined early

Cons

Culture for some times only

5.0
Jun 10, 2026
Recommend
CEO approval
Business Outlook

Pros

Technical excellence and engineering rigor – Working alongside some of the smartest engineers in the industry. Code reviews, architecture discussions, and performance optimization were taken seriously. Cutting-edge technology – Unparalleled exposure to GPUs, CUDA, AI infrastructure, and low-level systems programming. Truly a place where you can work on problems that define the next decade of computing. Impact – Your work ships in products used by millions of gamers, researchers, and data centers worldwide. That visibility is rare and rewarding. Leadership in AI/ML – NVIDIA is not just riding the AI wave; it’s enabling it. Being at the center of that as an engineer was professionally transformative. Compensation – Competitive salary + RSUs that have appreciated significantly over time. The financial upside for long-term employees has been substantial.

Cons

Internal mobility – Moving between teams (e.g., from automotive to gaming) was harder than promised. Managers sometimes blocked transfers.

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