Deep Learning Engineer Interview Experience - Santa Clara, California
Process
On Campus.
The process took 3 weeks. There were 3 rounds back-to-back, each lasting 45 minutes. The last round stretched a bit, lasting more than 1 hour.
I had healthy conversations with the interviewer. Algorithmic knowledge was tested, and concepts on Machine Learning and Deep Learning were asked. I was also asked about the projects on my resume in detail.
I received the result in 2 weeks after following up with HR.
Questions
- Expression Tree given as input: Evaluate the expression.
- Counting the number of ways to climb a ladder.
- A problem on Template Matching in Computer Vision.
- Few Machine Learning Concepts: Explaining algorithms.
- Many Deep Learning Concepts: Explaining the details on how training is done.
- Coin change problem.
- Resume-based questions: Asked to code an algorithm implemented in one of my projects.
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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
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
Candidates reported having very good feelings for Nvidia's Deep Learning Engineer interview process in Santa Clara, California.
Nvidia Work Experiences
- 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
