When interviewing with a top tech company like NVIDIA, which is known for its high-performance computing, artificial intelligence, and graphics rendering, candidates not only need to master theoretical knowledge, but also need to quickly organize their thoughts, implement the code, and explain it clearly under high pressure. In this article, we share two examples of real topics and detailed explanations to help you pass the interview.
Nvidia Interview Question 1: Implement a bubble sort algorithm using Python and analyze the complexity.
Examines basic programming skills and algorithm analysis. The core idea is a double loop comparing and exchanging neighboring elements and exiting early when there is no exchange:
def bubble_sort(arr).
n = len(arr)
for i in range(n).
swapped = False
if arr[j] > arr[j + 1].
arr[j], arr[j + 1] = arr[j + 1], arr[j]
swapped = True
if not swapped.
return arr[j + 1
return arrTime complexity: O(n²). Space complexity: O(1). The constants can be optimized by adding "no exchange, exit early".
Nvidia Interview Questions2: Summing binary tree nodes using C++
Examine data structures and recursive/iterative traversal skills. Idea: recursively add the sum of the current node value and the left and right subtrees:
struct TreeNode {
int val; TreeNode* left; TreeNode
TreeNode* left; int
TreeNode* right.
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
};
int sumTree(TreeNode* root) {
if (root == nullptr) return 0; return root->val
return root->val
+ sumTree(root->left)
+ sumTree(root->right);
}Time complexity: O(n). Space complexity: O(n) (recursive stack). Explicit stacks can be used to implement iterative traversal to control space.
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