Deep Learning Engineer Interview Experience - Santa Clara, California
June 27, 2025
Positive ExperienceNo Offer
Process
One round with the hiring manager on the basics and advanced topics of deep learning.
This will cover the latest developments of transformer architecture, parallel training methods, and optimization techniques.
Questions
Implement multi-headed self-attention.
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Interview Statistics
The following metrics were computed from 3 interview experiences for the Nvidia Deep Learning Engineer role in Santa Clara, California.
Success Rate
0%
Pass Rate
Nvidia's interview process for their Deep Learning Engineer roles in Santa Clara, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive67%
Neutral33%
Negative0%
Candidates reported having very good feelings for Nvidia's Deep Learning Engineer interview process in Santa Clara, California.
Nvidia Work Experiences
4.0
Great place to work, very smart people.
Deep Learning Engineer • Current Employee
Santa Clara, California, United States
February 12, 2017
Pros: Very smart people, a great place to learn for recent grads.
Nice campus.
Exceptional CEO. In general, teams are organized and communication flows without obstacles.
Cons: - 401(k) matching.
- More vacation days.
- More shuttle access (better connection for employees)
4.0
Experience at Nvidia
Deep Learning Engineer • Current Employee
Santa Clara, CA
April 18, 2023
Pros: Good and intelligent team Cutting edge work in AI
Cons: some weeks may be hectic
5.0
A great place to work
Deep Learning Engineer • Current Employee
Beijing, Beijing
November 12, 2021
Pros: the major task is to learn latest technique stacks and summarize to help customers.
Cons: need to be continuously learning mode.
- 4.0Great place to work, very smart people.Deep Learning Engineer • Current EmployeeSanta Clara, California, United StatesFebruary 12, 2017Pros: Very smart people, a great place to learn for recent grads. Nice campus. Exceptional CEO. In general, teams are organized and communication flows without obstacles.Cons: - 401(k) matching. - More vacation days. - More shuttle access (better connection for employees)
- 4.0Experience at NvidiaDeep Learning Engineer • Current EmployeeSanta Clara, CAApril 18, 2023Pros: Good and intelligent team Cutting edge work in AICons: some weeks may be hectic
- 5.0A great place to workDeep Learning Engineer • Current EmployeeBeijing, BeijingNovember 12, 2021Pros: the major task is to learn latest technique stacks and summarize to help customers.Cons: need to be continuously learning mode.
Nvidia Interview Questions
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