Nvidia Interview Questions

Review this list of 87 Nvidia interview questions and answers verified by hiring managers and candidates.

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Asked at Nvidia • 2 years ago
Explain callback functions.
Software Engineer
Coding
+1 more
1 answer
"Function that is passed as an argument or parameter to another function and it gets executed when the function that it is passed to gets executed"
Susmita S. - "Function that is passed as an argument or parameter to another function and it gets executed when the function that it is passed to gets executed"See full answer
Software Engineer
Coding
+1 more
Asked at Nvidia, Amazon • 6 months ago
What main considerations do you take when prioritizing?
Technical Program Manager
Behavioral
+1 more
1 answer
"benefit to the project Probability of intended outcome Affect on resources needed to complete project"
Bill P. - "benefit to the project Probability of intended outcome Affect on resources needed to complete project"See full answer
Technical Program Manager
Behavioral
+1 more
Asked at Nvidia • 6 months ago
A user reports the front-end application is slow, how do you diagnose where the bottleneck is?
Solutions Architect
Coding
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Solutions Architect
Coding
Asked at Nvidia • 6 months ago
What do you know about data annotation and collecting data for LLM training?
Product Manager
Product Strategy
Add answer
Product Manager
Product Strategy
Asked at Nvidia • 6 months ago
Given a DAG of dependencies, how do you order execution correctly?
Solutions Architect
Coding
+1 more
Add answer
Solutions Architect
Coding
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Asked at Nvidia • 5 months ago
What technical knowledge do you have that would make you successful in this role?
Product Manager
Behavioral
Add answer
Product Manager
Behavioral
Asked at Nvidia, Wise • a year ago
Can you talk us through a product you've scoped and built? Include the goal and your specific role.
Product Manager
Product Design
Add answer
Product Manager
Product Design
Asked at Nvidia • 6 months ago
Given arrays of varying lengths, how would you pad them efficiently?
Software Engineer
Coding
Add answer
Software Engineer
Coding
Asked at Nvidia • 2 years ago
How does a graphics processing unit (GPU) work?
Software Engineer
Concept
+1 more
Add answer
Software Engineer
Concept
+1 more
Asked at Nvidia • 6 months ago
How do you measure and improve node efficiency and GPU utilization at scale?
Solutions Architect
Coding
Add answer
Solutions Architect
Coding
Asked at Nvidia, Netflix • 2 years ago
How do convolutional neural networks (CNNs) differ from traditional neural networks in processing image data?
Machine Learning Engineer
Concept
Add answer
Machine Learning Engineer
Concept
Asked at Nvidia, Amazon • 10 months ago
Tell me about a system you are currently working on.
Technical Program Manager
Behavioral
+1 more
1 answer
"oracle"
Kegomoditswe R. - "oracle"See full answer
Technical Program Manager
Behavioral
+1 more
Asked at Nvidia • a year ago
How do you work with people from different disciplines and onboard them onto the platform?
Machine Learning Engineer
Behavioral
+1 more
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Machine Learning Engineer
Behavioral
+1 more
Asked at Nvidia • 2 years ago
How does Nvidia employ machine learning?
Machine Learning Engineer
Concept
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Machine Learning Engineer
Concept
Asked at Nvidia • 6 months ago
If GPU utilization is low during training, how would you debug and benchmark performance?
Software Engineer
Concept
Add answer
Software Engineer
Concept
Asked at Nvidia • 2 years ago
What's a memory leak and how can we avoid it?
Software Engineer
Coding
+1 more
Add answer
Software Engineer
Coding
+1 more
Asked at Nvidia, The Support Network • 6 months ago
What are your current KPIs? How do you ensure you meet them?
BizOps & Strategy
Behavioral
+2 more
1 answer
"My the current KPIs focus on three areas: 1) the number of designs finalized and signed off by the business. 2) the completion of development for those designs, and 3)the quality and quantity of data loaded. To achieve these, I communicate requirements early and provide all necessary information to the business for accurate design sign-off. I deliver documents that are precise and contain all details the technical team needs for development. I also verify system configuration before data loadin"
Prachi N. - "My the current KPIs focus on three areas: 1) the number of designs finalized and signed off by the business. 2) the completion of development for those designs, and 3)the quality and quantity of data loaded. To achieve these, I communicate requirements early and provide all necessary information to the business for accurate design sign-off. I deliver documents that are precise and contain all details the technical team needs for development. I also verify system configuration before data loadin"See full answer
BizOps & Strategy
Behavioral
+2 more
Asked at Nvidia • 2 years ago
What's your experience working with CUDA?
Software Engineer
Behavioral
Add answer
Software Engineer
Behavioral
Asked at Nvidia • 5 months ago
What 3D or foundational physics experience do you have from your previous roles?
Product Manager
Behavioral
Add answer
Product Manager
Behavioral
Asked at Nvidia • 2 years ago
What is the difference between multiprogramming, time-sharing, and multi-processing?
Software Engineer
Concept
Add answer
Software Engineer
Concept

Showing 61-80 of 87

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Nvidia Interview Questions

Explain callback functions.

What main considerations do you take when prioritizing?

A user reports the front-end application is slow, how do you diagnose where the bottleneck is?

What do you know about data annotation and collecting data for LLM training?

Given a DAG of dependencies, how do you order execution correctly?

What technical knowledge do you have that would make you successful in this role?

Can you talk us through a product you've scoped and built? Include the goal and your specific role.

Given arrays of varying lengths, how would you pad them efficiently?

How does a graphics processing unit (GPU) work?

How do you measure and improve node efficiency and GPU utilization at scale?

How do convolutional neural networks (CNNs) differ from traditional neural networks in processing image data?

Tell me about a system you are currently working on.

How do you work with people from different disciplines and onboard them onto the platform?

How does Nvidia employ machine learning?

If GPU utilization is low during training, how would you debug and benchmark performance?

What's a memory leak and how can we avoid it?

What are your current KPIs? How do you ensure you meet them?

What's your experience working with CUDA?

What 3D or foundational physics experience do you have from your previous roles?

What is the difference between multiprogramming, time-sharing, and multi-processing?

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