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Nvidia Assessment Tests, Hiring Process & Interviews Online Preparation & Free Practice Questions – 2024

Aptitude Tests Preparation

What Is Nvidia?

Nvidia is an American technology company that was founded in Delaware in 1993. Since then, it has moved headquarters to Santa Clara, California, and employs nearly 7,500 people in North and South America.

This company specializes in graphic processing units (GPUs) for gaming and professional industries. Nvidia also has technologies in AI computing, machine learning, Virtual Reality, and Universal Scene Description (USD).

Being a technology company, Nvidia has a lot of opportunities for professionals and recent graduates in many fields. Some of the teams you can join are:

  • Artificial Intelligence
  • Research
  • Hardware
  • Auto
  • Graphics
  • Robotics
  • Gaming
  • Data Center
  • Worldwide Field Operations

 

Working At Nvidia

Nvidia cares about its employees and wants their workers to be healthy and happy in their careers. Employees at Nvidia can expect several benefits, including but not limited to:

  • Health: Dental plans, medical plans, vision plans, prescriptions, Cigna on-site, virtual care, health advice
  • Financial: 401K, commuter reimbursement, daycare flexible spending account, employee stock purchase plan, student loan repayment
  • Insurance: Discounted auto and home insurance, disability, critical illness insurance, pet insurance
  • Well-Being: Parental leave, paid time off, holidays, mental health resources, physical well-being resources, family planning resources

Nvidia also has a robust internship program for university students. Qualifying interns will also receive health and time-off benefits and other perks.

Nvidia pride themselves on their strong company culture of inclusivity and collaboration. Employees at this company come from diverse backgrounds and have a wide range of experiences.

 

Nvidia’s Core Values and Company Culture

Nvidia prides itself on fostering a culture that revolves around key values: Innovation, Intellectual Honesty, Speed and Agility, Excellence, and Teamwork. These principles shape how the company operates and expects employees to embrace them. Nvidia also emphasizes diversity and inclusion, encouraging people from various backgrounds to work together toward groundbreaking solutions. Understanding and embodying these values are crucial for succeeding in the assessments and overall hiring process.

 

What Is Nvidia’s Hiring Process?

Nvidia’s hiring process is rigorous, starting with an online application, followed by a detailed Nvidia assessment test. Candidates face Nvidia online test questions that measure technical skills, problem-solving, and aptitude. These tests include coding exercises, often via Hackerrank, where applicants solve algorithmic and systems architecture challenges. The Nvidia online assessment questions focus on logical reasoning, data structures, and aptitude. After clearing the tests, candidates progress to several interview rounds: pre-screening, technical, and HR interviews. Technical interviews are particularly demanding, with in-depth discussions about projects, C fundamentals, and systems design. Success in these stages is critical for advancing to on-site interviews, which can take up to five hours and include live coding and problem-solving scenarios. Nvidia evaluates both technical expertise and behavioral alignment with core values like innovation and excellence.

 

Nvidia’s Online Application

The Nvidia recruiting process begins with the online application. If you are interested in a job at Nvidia, you will want to explore all of the open roles to find one that interests you. After you find a position to apply for, be sure to tweak your resume to highlight skills and experiences that align with that role. You can apply for the job through the Nvidia website or use your LinkedIn profile.

In addition to your resume, you will need to answer a few basic pre-employment questions. These will not be too technical and will likely focus on your past experiences, skills, and interests.

After submitting your online application, you will typically hear back from the hiring manager in about two weeks with next steps.

 

Interviews

After your application passes the initial screening process, you will complete a series of interviews. These interviews may be with the hiring manager, team members, or other employees and could be by phone, video, or in-person. The interviews you complete will depend on the role you are applying for.

During these interviews, the Nvidia hiring team is looking to see if you fit the company and the role. Be sure to research the company ahead of time in preparation for these discussions. It is also essential to highlight your skills honestly and confidently. If there is another position that the team feels would be a better fit for you, they may also invite you to apply for that role.

  • Pre-Screening Interview – This interview will likely be with a recruiting team member and will focus on your background and skills. The purpose of this interview is to confirm the information on your application, gain a little more information about you, and allow you to ask any questions you may have about the role or the company.
  • Phone Interview – This discussion will be more in-depth than the initial screening and will be with the hiring manager. This interview will dive deeper into your technical experience and personality.
  • Technical Interview – If applying for a technical role, you may also complete a technical interview to test your abilities on specific technical skills.
  • On-Site Interview – The on-site interview will take several hours and consist of several interviews with Human Resources, the hiring manager, and other team members. During this time, they will assess your behavior, communication skills, technical knowledge, and ability to succeed in the role.

 

Nvidia’s Aptitude & Assessment Test

In addition to the interviews, job seekers will also complete a few aptitude and psychometric exams.

  • Coding Test: You will likely take a coding test if you are applying for a technical position. Nvidia typically uses Hackerrank and will provide you with a whiteboard or laptop for the assessment.
  • Logical Reasoning Test: You may also be required to complete a logical reasoning test during the hiring process. This test will assess your ability to interpret and analyze information. This test is usually ti med, so be prepared to work within a time limit.
  • Numerical Reasoning Test: You may also take a numerical reasoning test to evaluate your ability to work with numbers, charts, and data.
  • Verbal Reasoning Test: This aptitude test measures how well you comprehend written information and make logical deductions from it.
  • Personality Test: Nvidia uses personality assessments to gauge how well candidates align with their core values, such as teamwork, agility, and innovation.

 

How to Prepare for the Nvidia Assessment?

The best way to prepare for the Nvidia assessment process is to take online practice tests. These tests will give you sample questions to better understand the exam and practice typical responses.

Before going in for interviews, be sure to research the company and rehearse explanations for common interview questions. These tips will help you feel more confident, and that confidence will shine through to the hiring team.

Remember, preparation is the best way to set yourself up for success during the hiring process. Be sure to take advantage of all the resources available to you online.

 

Nvidia Test Sample Questions

  1. You are tasked with finding the longest common subsequence (LCS) of two strings, but with a twist: if any character in either string has a duplicate within the subsequence, the LCS score decreases. Given strings S1 = “ABCBDAB” and S2 = “BDCABA”, what is the length of the subsequence considering this constraint?
    1. 2
    2. 3
    3. 4
    4. 5
  2. You are given a graph with n nodes and m edges. Each edge has a weight that is a random integer between 1 and 100. Design an algorithm to find the minimum spanning tree (MST) with an additional constraint: you must remove one edge from the original graph that is part of a cycle. Given the constraints, what would be the time complexity of your optimized algorithm?
    1. O(n^2 log n)
    2. O(m log m)
    3. O(n^2)
    4. O(m + n log n)
  3. You are tasked with managing the budget for a project. Your budget is $10,000. After completing 45% of the project, you’ve spent 65% of your budget. What percentage of the remaining budget can be spent on the remaining work to stay on budget?
    1. 35%
    2. 55%
    3. 70%
    4. 85%
  4. Consider a scenario where each side of a regular polygon has a point at its midpoint. You need to connect each point to every other point in the polygon without any lines intersecting. What is the maximum number of diagonals you can draw in a polygon with 12 sides under these conditions?
    1. 54
    2. 60
    3. 66
    4. 72
  5. A company produces a new AI chip. Each chip requires 2.5 hours of labor and 1.8 hours of machine time. If there are 50 workers available, each working a maximum of 8 hours per day, and 30 machines available, each running for 10 hours per day, what is the maximum number of chips that can be produced in one day, assuming no time is lost during the transition between workers and machines?
    1. 48
    2. 50
    3. 60
    4. 62
  6. An investment portfolio contains stocks, bonds, and commodities in the ratio of 5:3:2. After a market shift, the value of stocks increases by 30%, bonds decrease by 15%, and commodities increase by 10%. What is the overall percentage change in the value of the portfolio?
    1. 12%
    2. 5%
    3. 7%
    4. 10%
  7. A researcher concludes: “All the smartphones analyzed have longer battery life when equipped with energy-efficient processors.” Assuming this conclusion is accurate, which of the following statements can be inferred?
    1. Every smartphone will have longer battery life with any energy-efficient processor.
    2. Some smartphones without energy-efficient processors may also have longer battery life.
    3. No smartphone without an energy-efficient processor will have longer battery life.
    4. Energy-efficient processors are the only factor affecting battery life.

 

Answers

  1. C
  2. B
  3. B
  4. C
  5. B
  6. D
  7. B