NVIDIA Placement Papers 2024 - Previous Year Questions & Solutions

Company Overview

This page contains NVIDIA placement papers from 2024 with detailed solutions, exam patterns, and preparation insights. Use these previous year papers to understand the 2024 NVIDIA placement pattern and prepare effectively for current year exams.

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.

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NVIDIA 2024 Paper 1

Complete NVIDIA placement paper with coding questions and solutions

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NVIDIA 2024 Paper 2

Additional 2024 NVIDIA paper with detailed solutions

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NVIDIA 2024 Paper 3

Another 2024 NVIDIA paper with comprehensive solutions

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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

Actual 2024 Placement Paper Questions

This section contains real questions from NVIDIA placement papers 2024 based on candidate experiences from Reddit, PrepInsta, and IndiaBix.

Coding Questions (2024)

Q1: Two Sum Problem

Problem: Given an array of integers and a target sum, find two numbers that add up to the target.

Example:

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

Solution:

def twoSum(nums, target):
    hashmap = {}
    for i, num in enumerate(nums):
        complement = target - num
        if complement in hashmap:
            return [hashmap[complement], i]
        hashmap[num] = i
    return []

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

Q2: Reverse Linked List

Problem: Reverse a singly linked list.

Solution:

def reverseList(head):
    prev = None
    current = head
    while current:
        next_node = current.next
        current.next = prev
        prev = current
        current = next_node
    return prev

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

Technical MCQs (2024)

Q1: What is the time complexity of binary search?

Answer: O(log n)

Explanation: Binary search divides the search space in half at each step, resulting in logarithmic time complexity.

Q2: What is the difference between stack and queue?

Answer: Stack follows LIFO (Last In First Out) principle, while Queue follows FIFO (First In First Out) principle.

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

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NVIDIA Coding Questions

Complete collection of NVIDIA coding problems with solutions

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NVIDIA Interview Experience

Real interview experiences from successful candidates

Read Experiences →

NVIDIA Preparation Guide

Comprehensive preparation strategy for NVIDIA placement

View Preparation Guide →

NVIDIA Main Page

Complete NVIDIA placement guide with eligibility, process, and salary

View Main Page →

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