Nvidia Placement Papers 2024

Overview

This page collects NVIDIA placement papers from 2024 with previous-year questions, solutions, and the 2024 exam pattern. It is useful when you want real drive history: what the OA looked like, which question types repeated, and how solutions were approached. Work through the papers below to build speed and accuracy, then compare against newer 2025 material so your prep matches both established NVIDIA patterns and the latest shifts.

2024 NVIDIA Pattern

The 2024 NVIDIA placement process focused on technical skills and problem-solving. Understanding the 2024 pattern helps you prepare better for upcoming placements.

Download 2024 Placement Papers

NVIDIA 2024 paper 1→

Complete NVIDIA placement paper with coding questions and solutions

NVIDIA 2024 paper 2→

Additional 2024 NVIDIA paper with detailed solutions

NVIDIA 2024 paper 3→

Another 2024 NVIDIA paper with comprehensive solutions

NVIDIA exam pattern 2024

Section	Questions	Time	Difficulty	Focus Areas
Coding/Programming	2-3	60-90 min	Medium-Hard	DSA, algorithms, problem-solving
Technical MCQs	15-20	30-40 min	Medium	CS fundamentals, OOP, DBMS
Aptitude	10-15	20-30 min	Easy-Medium	Quantitative, logical reasoning

Total: 30-50 questions, 90-120 minutes

Key Changes in 2024:

• Updated question patterns
• Increased focus on practical skills
• New evaluation criteria

NVIDIA Placement Papers 2024 - actual questions & solutions

This section contains practice questions styled on NVIDIA placement papers 2024 (previous-year pattern), with worked solutions. Use them as timed sectional drills - from student reports drives vary by college and role, so treat this as a high-signal practice bank, not an official paper dump.

Question 1: maximum subarray sum

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Problem Statement: Find the contiguous subarray with the largest sum.

Example:

Input: [-2, 1, -3, 4, -1, 2, 1, -5, 4]
Output: 6  // [4, -1, 2, 1]

Solution (Java):

public int maxSubArray(int[] nums) {
    int best = nums[0], cur = nums[0];
    for (int i = 1; i < nums.length; i++) {
        cur = Math.max(nums[i], cur + nums[i]);
        best = Math.max(best, cur);
    }
    return best;
}

Time Complexity: O(n)
Space Complexity: O(1)

Question 2: valid parentheses

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Problem Statement: Given a string of brackets, determine if it is valid.

Example:

Input: "()[]{}"
Output: true

Solution (Java):

public boolean isValid(String s) {
    Deque<Character> st = new ArrayDeque<>();
    Map<Character, Character> pair = Map.of(')', '(', ']', '[', '}', '{');
    for (char c : s.toCharArray()) {
        if (pair.containsValue(c)) st.push(c);
        else if (st.isEmpty() || st.pop() != pair.get(c)) return false;
    }
    return st.isEmpty();
}

Time Complexity: O(n)
Space Complexity: O(n)

Question 3: first non-repeating character

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Problem Statement: Return the first non-repeating character in a string, or ‘_’ if none.

Example:

Input: "swiss"
Output: 'w'

Solution (Java):

public char firstUnique(String s) {
    int[] freq = new int[256];
    for (char c : s.toCharArray()) freq[c]++;
    for (char c : s.toCharArray()) if (freq[c] == 1) return c;
    return '_';
}

Time Complexity: O(n)
Space Complexity: O(1)

Question 4: climbing stairs

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Problem Statement: You can climb 1 or 2 steps. How many distinct ways to climb n stairs?

Example:

Input: n = 4
Output: 5

Solution (Java):

public int climbStairs(int n) {
    if (n <= 2) return n;
    int a = 1, b = 2;
    for (int i = 3; i <= n; i++) {
        int c = a + b; a = b; b = c;
    }
    return b;
}

Time Complexity: O(n)
Space Complexity: O(1)

Question 5: two sum

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Problem Statement: Given an array of integers and a target, return indices of two numbers that add up to target.

Example:

Input: nums = [2, 7, 11, 15], target = 9
Output: [0, 1]

Solution (Java):

public int[] twoSum(int[] nums, int target) {
    Map<Integer, Integer> map = new HashMap<>();
    for (int i = 0; i < nums.length; i++) {
        int need = target - nums[i];
        if (map.containsKey(need)) return new int[]{map.get(need), i};
        map.put(nums[i], i);
    }
    return new int[]{};
}

Time Complexity: O(n)
Space Complexity: O(n)

Question 6: binary tree level order

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Problem Statement: Return the level-order traversal of a binary tree.

Example:

Input: [3,9,20,null,null,15,7]
Output: [[3],[9,20],[15,7]]

Solution (Java):

public List<List<Integer>> levelOrder(TreeNode root) {
    List<List<Integer>> res = new ArrayList<>();
    if (root == null) return res;
    Queue<TreeNode> q = new ArrayDeque<>();
    q.add(root);
    while (!q.isEmpty()) {
        int sz = q.size();
        List<Integer> level = new ArrayList<>();
        for (int i = 0; i < sz; i++) {
            TreeNode n = q.poll();
            level.add(n.val);
            if (n.left != null) q.add(n.left);
            if (n.right != null) q.add(n.right);
        }
        res.add(level);
    }
    return res;
}

Time Complexity: O(n)
Space Complexity: O(n)

Question 7: longest common prefix

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Problem Statement: Find the longest common prefix string amongst an array of strings.

Example:

Input: ["flower","flow","flight"]
Output: "fl"

Solution (Java):

public String longestCommonPrefix(String[] strs) {
    if (strs.length == 0) return "";
    String pref = strs[0];
    for (int i = 1; i < strs.length; i++) {
        while (!strs[i].startsWith(pref)) {
            pref = pref.substring(0, pref.length() - 1);
            if (pref.isEmpty()) return "";
        }
    }
    return pref;
}

Time Complexity: O(S)
Space Complexity: O(1)

Question 8

Q8: Which protocol is connection-oriented at the transport layer?

Solution:

TCP is connection-oriented; UDP is connectionless.

Answer: TCP

Question 9

Q9: Time complexity of binary search on a sorted array of n elements is?

Solution:

Each step halves the search space → O(log n).

Answer: O(log n)

Question 10

Q10: Which data structure uses FIFO order?

Solution:

FIFO = First In First Out → Queue. Stack is LIFO.

Answer: Queue

Question 11

Q11: Worst-case time complexity of quicksort is?

Solution:

Unbalanced partitions (already sorted with bad pivot) → O(n²).

Answer: O(n²)

2024 hiring trends

Hiring volume

2024 Data: NVIDIA hired 500-1000 candidates from top engineering colleges in 2024. The company conducted placement drives at 50+ colleges across India.

Salary packages

2024 Packages: ₹40-50 LPA for freshers

Process changes

2024 Updates: Updated online assessment platform, new interview formats

Key insights from 2024 NVIDIA Online Assessment

1. Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
2. Technical MCQs: Strong emphasis on CS fundamentals, OOP, algorithms, GPU computing
3. Time Management: 2-3 coding problems in 60-90 minutes + 15-20 technical MCQs in 30-40 minutes + 10-15 aptitude in 20-30 minutes
4. Success Rate: Only 10-15% cleared OA and advanced to interviews
5. Platform: NVIDIA’s assessment platform or HackerRank
6. Focus Areas: DSA, algorithms, GPU computing, parallel computing, AI/ML fundamentals

NVIDIA 2024 interview experiences

Based on candidate experiences from 2024 NVIDIA interviews:

2024 Interview Process:

1. Online Assessment (90-120 minutes): Coding (2-3 problems) + Technical MCQs (15-20) + Aptitude (10-15)
2. Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions, GPU computing concepts
3. Onsite Interviews (4-5 rounds, 45-60 minutes each):

• Coding rounds (2-3): Algorithms, data structures, problem-solving
• System Design rounds: GPU systems, parallel computing, AI/ML systems
• Behavioral rounds: Problem-solving approach, innovation, teamwork

Common 2024 Interview Topics:

• Coding: Arrays, strings, trees, graphs, dynamic programming, parallel algorithms
• Technical: GPU computing, CUDA, parallel computing, AI/ML fundamentals, system design
• Behavioral: Innovation, problem-solving, teamwork, impact
• NVIDIA Technologies: GPU architecture, CUDA programming, AI/ML frameworks, parallel computing

2024 Interview Questions Examples:

• Two Sum Problem
• Reverse Linked List
• GPU computing concepts
• CUDA programming questions
• Parallel algorithm design
• AI/ML fundamentals

Success Tips:

• Strong coding performance is essential - solve problems optimally
• Understand GPU computing and parallel computing concepts
• Practice system design for GPU systems and AI/ML systems
• Prepare examples demonstrating innovation and problem-solving
• Learn NVIDIA technologies - CUDA, GPU architecture, AI/ML frameworks
• Practice explaining your thought process clearly

For detailed interview experiences, visit NVIDIA Interview Experience page.

Preparation tips for NVIDIA 2024 pattern

1. Master Coding Fundamentals: Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
2. GPU Computing Knowledge: Strong understanding of GPU computing, CUDA, parallel computing
3. Practice Previous Year Papers: Solve NVIDIA OA papers from 2020-2024 to understand patterns
4. Time Management: Practice completing 2-3 coding problems in 60-90 minutes
5. Technical MCQs: Practice CS fundamentals, OOP, GPU computing, parallel computing
6. LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
7. GPU Technologies: Learn CUDA programming, GPU architecture, parallel algorithms
8. AI/ML Basics: Understand AI/ML fundamentals and frameworks
9. Behavioral Preparation: Prepare examples using STAR format - innovation, problem-solving, impact
10. Mock Tests: Take timed practice tests to improve speed and accuracy
11. Parallel Computing: Understand parallel algorithms and distributed systems

Related resources

NVIDIA 2025 papers→

Latest NVIDIA placement papers with current year questions

NVIDIA coding questions→

Complete collection of NVIDIA coding problems with solutions

NVIDIA interview experience→

Real interview experiences from successful candidates

NVIDIA preparation guide→

Comprehensive preparation strategy for NVIDIA placement

NVIDIA main page→

Complete NVIDIA placement guide with eligibility, process, and salary

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Practice 2024 papers to understand NVIDIA OA pattern and prepare effectively!