Deep Learning Software Engineer Interview Experience - Santa Clara, California
March 1, 2018
Positive ExperienceNo Offer
Process
Two phone interviews followed by an onsite interview.
- The first phone interview included a live coding session.
- The second phone interview consisted of in-depth technical questions.
- The onsite interview had six interviewers, five of whom were strictly technical.
Questions
Implement a convolutional layer in Python.
How is a virtual function implemented in a compiler?
Several questions on:
- Computer architecture
- Matrix multiplication
- GPU computing
Questions on resumes and projects.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Nvidia Deep Learning Software Engineer role in Santa Clara, California.
Success Rate
0%
Pass Rate
Nvidia's interview process for their Deep Learning Software Engineer roles in Santa Clara, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Nvidia's Deep Learning Software Engineer interview process in Santa Clara, California.
Nvidia Work Experiences
5.0
Rewarding, Flexible, Mobile Work
Deep Learning Software Engineer • Former Employee
Santa Clara, California, United States
November 21, 2021
Pros: Flexible work hours,
challenging but rewarding work,
great mobility
Cons: Can't think of one, unfortunately.
4.0
Great WLB but poor management
Deep Learning Software Engineer • Current Employee
Holmdel, New Jersey, United States
August 13, 2022
Pros: Work-life balance has been great so far.
Cons: The management of the entire software stack is very poor.
5.0
Great Pay, Tough Entry
Software Engineer • Current Employee
Santa Clara, California, United States
November 28, 2025
Pros: Really high-level base salary.
Cons: Extremely competitive and hard to get into.
- 5.0Rewarding, Flexible, Mobile WorkDeep Learning Software Engineer • Former EmployeeSanta Clara, California, United StatesNovember 21, 2021Pros: Flexible work hours, challenging but rewarding work, great mobilityCons: Can't think of one, unfortunately.
- 4.0Great WLB but poor managementDeep Learning Software Engineer • Current EmployeeHolmdel, New Jersey, United StatesAugust 13, 2022Pros: Work-life balance has been great so far.Cons: The management of the entire software stack is very poor.
- 5.0Great Pay, Tough EntrySoftware Engineer • Current EmployeeSanta Clara, California, United StatesNovember 28, 2025Pros: Really high-level base salary.Cons: Extremely competitive and hard to get into.
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