I'm sure you've heard of it at one time or another. Nvidia The interview was a bit difficult and the process was divided into three parts: electric/video interview → technical phone interview → on-site interview. We share our recollections and exclusive questions in detail below.
I. Initial Recruiter Screen
- Introduce yourself:Precisely distill the highlights relevant to the position to grab the interviewer's attention.
- Project Exploration:Ask in-depth questions about the technical challenges, solution strategies, and teamwork you've encountered in your projects.
- Coding Conceptual Examination:Basic concepts are discussed and simple topics are given.
Nvidia Interview Coding Real Questions
Coding 1:given array arr, allowing the exchange of neighboring elements and each element to participate in at most one exchange. Objective function:
∑ i=0..n-1 arr[i] × (i+1)Find the maximum value of this function after any number of operations. This can be done by using DP.dpl express support for arr[0:i] Best results.
Coding 2:Array of decoded values arr[](corresponding to 'a'-'z') and string str. Definition:
y = ∑ i=0...N-2 | val(i+1) - val(i) |Arbitrary rearrangement str The idea is to extract the decoded values of all the characters, sort them in ascending order and calculate the sum of the differences.
II. Technical Phone Screen Interview
Examine multifaceted technical skills:
- ▪️ Engineering skills & C++:Model inference acceleration (dynamic & continuous batch), real-world deployment.
- ▪️ Question Solve:Classical problems such as register overflow time analysis, double egg problem, weigh ball problem, etc.
- ▪️ AI expertise:NLP (BERT), GEMM/Convolution acceleration, LLM/Transformer base.
- ▪️ GPU/CPU & Python:CPU/GPU differences, GPU memory architecture; Python advanced features and PyTorch pin memory.
III. Nvidia On-site Technical Interview
Includes HR Interview + BQ Interview, focusing on Behavior Interview, utilizing STAR methodology to fit Nvidia's culture, Hiring Manager digs deep into professional and problem solving skills with multiple team members or leaders, centered around CV and BQ, making sure to familiarize yourself with Nvidia's culture.
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