NVIDIA is a worldwide American technology firm with its main office in Santa Clara, California, and was founded in 1993. The business is in charge of launching the first GPU ever. It is a leader in artificial intelligence on a global scale and offers mobile computing services. As a business at the nexus of AI, HPC, and graphics, NVIDIA is constantly seeking brilliant people who can help them push the envelope of what is practical. If you’re fortunate enough to land a job interview at NVIDIA, be prepared for some challenging questions that will take your knowledge and abilities to test. NVIDIA may have a different interview process that depends on the job you’re applying for. The majority of positions, however, will call for the interview at least two times. Typically, a phone screen comes first, then an in-person interview. It takes a few weeks to complete the interview process because it is so drawn out. We’ve collected some of the most typical NVIDIA interview questions and sample responses to help you prepare. These will give you an understanding of what the employer is looking for.
1. What Do You Know About NVIDIA?
NVIDIA Corporation is a multinational company that makes desktop computers, mobile technology, and graphics chips. Three American scientists launched the business in 1993. The company NVIDIA is renowned for creating integrated circuits that are utilized in anything from personal computers to video game consoles (PCs). The company is a leading manufacturer of powerful GPUs. NVIDIA’s headquarters are in Santa Clara, California. NVIDIA’s computing solutions include video cards, mobile phone processors (Tegra), multimedia processors (nForce), and scientific research computers (Tesla). These products are in addition to those for the computer gaming industry.
2. What Is Your Background In Computer Vision And Graphics Processing Units?
Since I’ve been working with graphics processing units for more than five years, I’ve watched as they developed from basic graphics cards into strong computing platforms that are employed across a variety of industries. In my previous position as an IT specialist, I assisted in integrating GPU technology from NVIDIA into our operational procedures. With its help, we were able to increase our data processing efficiency by 50%, allowing us to save costs while raising client satisfaction.
3. Describe The Reason Why You Want A Job At NVIDIA.
A multinational corporation, NVIDIA values work-life balance highly. I firmly believe that NVIDIA is the ideal company to work for because it allows you to demonstrate your abilities and fosters professional advancement. You have the chance to work with competent management who value friendliness. I’m passionate about developing technology that makes people’s life easier, which is why I want to work at NVIDIA. The number of incidents caused by self-driving cars has decreased by 80% since their introduction, according to a recent report I read. That’s incredible! I believe that working here would allow me to truly change the world.
4. Tell Us About Your Experience With Machine Learning For Commercial Purposes.
As an AI engineer in my previous position, I created neural networks used to analyze consumer data sets to find trends and forecast outcomes. For instance, one of our clients was seeking strategies to boost the productivity of their sales crew. We examined sales data of our clients and discovered that some hours of the day saw higher product sales than others. We developed a prediction model using this information that the sales team could use to plan their calls around busy periods.
5. How Would You Go About Creating A Program That Can Ask The GPU About Its Computing Power?
I can find out which features, such as compute capability, are ready to get supported by the GPU using the query capability () method. I would use the cudaGetDeviceProperties() function to first see if the device provides the computing capability. I use the query capability () method with the argument set to CUDACC DEVICE COMPUTE CAPABILITY if the system supports its capabilities. It gives back an array of structures that detail the GPU’s computing capabilities.
6. Describe The Process You Would Use To Develop Code To Calculate Two Vectors Sum (GPU).
I would first make two input buffers for two vectors that are big enough to contain all the data for the computation of two vectors’ sum on a GPU. The output buffer I would then make would have to be big enough to contain the outcome of combining the two vectors. After that, I’d configure my kernel function to sum both vectors and save the information in the output buffer from the input buffer.
7. Why You Are The Best Fit For This Job?
I make it a point to be current on trends and advances in the sector because I am passionate about my work in business service management. I went to a conference when I was working for a small business and learned about new software programs for controlling cloud services. I utilized this knowledge for our company by integrating these solutions into the framework we already had in place. My ability to get along with others is one of my best strengths. I’m always prepared to work on projects with others and provide counsel as needed.
8. Could You Please Explain How You Would Go About Implementing A Solution To Collect Information On How GPU Resources Are Used Across All Users On A Shared Cluster?
I would first write a script to keep track of any GPU resource utilization information, including memory usage, for all cluster users. Then, to collect data from each system of users, I would run the script after every three minutes. I would collect the data and then save it in a database that is easily accessible so that I may examine it later.
9. How Do You Arrange And Set Priorities For Your Everyday Tasks?
To remember my daily commitments and appointments, I utilize a calendar. This approach, in my opinion, allows me to manage my obligations and keep organized the most effectively. I make a schedule at the start of every week that includes detailed objectives for the days to come. It aids in my task prioritization and ensures that I stick to my deadlines.
10. What Are A Few Projects You’Ve Worked On That Combined Software And Hardware?
I worked on several projects including hardware and software in my previous position as an IT professional. One instance is when it was requested to build a new server for the website of one of our clients. I did some research on different sorts of servers and found that a cloud-based server was the most helpful for them in determining which form of server would be ideal for their purposes. I set up the server and then installed it by the client’s requirements.
11. How Have You Utilized Algorithms And Data Structures To Address A Problem? Give An Example.
My previous employment required me to develop an application that would let users keep track of their store inventory for various products. The business intended to utilize the website to inform customers when to place new orders for specific products as a marketing tool. I had to choose the most appropriate algorithms and data structures before I could start building this app. I did some study and concluded that the optimal data structure would be a linked list as it can track several objects simply.
12. Describe A Situation In Which You Had To Balance Competing Priorities. What Were Your Tactics?
As a software developer, I frequently have to strike a compromise between competing demands. As an illustration, I recently worked on a project that required us to develop new software for our users. But there were also other tasks with deadlines that had to be accomplished. In these circumstances, I make an effort to order my tasks according to their urgency and significance. Then, to make each activity more manageable, I divide it into smaller steps.
13. To Someone Who Is Unfamiliar With The Architecture Of CPU And GPU, How Would You Describe Their Differences?
While GPUs are made for parallel processing, CPUs are made for general-purpose computing. Unlike GPUs, having hundreds of tiny cores with their local memory but no cache, CPUs contain one or more than one cores along with shared memory and caches. It indicates that while GPUs perform numerous calculations simultaneously in a better way, CPUs are better at carrying out sequential commands.
14. Give A Specific Instance Of A Project You Worked On That Utilized Artificial Intelligence.
I worked on a similar project at my former job where we had to build a neural network for picture identification. Our neural networks should be trained using deep learning methods to recognize photos based on their content. We eventually developed a network that can recognize things in photographs, despite the project being difficult due to the wide variety of image formats.
15. What Approach Would You Take To Managing A Development Team If You Were Hired?
In my previous role, I was in charge of overseeing a group of five developers. Weekly check-ins with each team member were part of my management plan to make sure they were progressing with their tasks. I also set up daily meetings where we spoke about our achievements and any difficulties we encountered. These two techniques gave my team members the chance to exchange ideas and ask questions while also helping me stay up to date with the development team.
16. What Elements Do You Take Into Account When Selecting A New Project Programming Language?
I take into account several things when picking a programming language, such as the degree of proficiency of the team with the language, how long it takes to learn, and how well it performs in comparison to other languages. For instance, if my team is already adept at using Python, I would continue to do so for upcoming tasks because it has shown itself as a valuable tool for our company.
17. What Difficulties Do You Anticipate As More People Begin To Use GPUs?
The fact that GPUs are widely available to those who aren’t necessarily tech-savvy poses a dilemma, in my opinion. This implies that there will be a greater number of consumers who are unaware of how to properly install or even operate their GPU. With my background in customer service, I’m sure I could assist them in resolving any problems they may be having.
18. What APIS Have You Previously Created And Implemented?
Throughout my work, I’ve built and implemented a wide range of APIs, including SOAP, XML, JSON, REST, and others. I’ve discovered that leveraging APIs enables me to build extremely scalable, universally accessible programs. When working on projects with numerous individuals who wanted access to data, this has been very helpful.
19. Describe A Project You’d Like To Work On If Recruited.
Working on a project like self-driving automobiles would be a great opportunity. I’ve been keeping up with improvements in this area for a while, and I believe there are numerous ways artificial intelligence (AI) may enhance transportation. For instance, I know we could employ deep learning to build more effective navigational systems and better obstacle-detection sensors.
20. What Do You Think About The Situation Of The AI Market Right Now?
NVIDIA is the industry leader in the expanding field of artificial intelligence. Although the AI sector is now booming, I believe there is still plenty of room for expansion. As more businesses enter the market, creativity will increase as programmers fight to produce a great product. I think that many organizations might not keep up with the rate of development, though. It might result in industry consolidation, which would be advantageous for those who can keep innovating quickly.
21. Can You Give An Example Of A Period When You Had To Be Proactive?
I was part of a team of five employees at my former employer who was working on a project. We would hold weekly conference meetings to discuss the project’s progress because we were all spread out in different places. One day, the individual in charge of the call failed to arrive at the agreed-upon meeting location. We were not in a position to move the project forward because this occurred three times in a row. I took the initiative and convened a hastily called meeting for everyone. I gave a brief overview of the work that needed to be done during the meeting and allocated duties to each team member. We convened, as usual, the following day to discuss how to finish the assignment by the deadline.
22. Have You Worked With Frameworks Like Tensorflow Or Pytorch Before?
NVIDIA is a pioneer in the creation of deep learning frameworks; I’ve worked with both frameworks in the past, but TensorFlow is where my expertise lies. In my previous position as an AI engineer, I was charged with utilizing TensorFlow to build a network for image recognition. The neural network’s development took me several weeks, but once it was finished, I could use it to identify items in photos.
23. What Is Your Debugging Philosophy?
Debugging is a multi-step process that entails locating a problem, tracking down the source of the problem, and either fixing the error directly or finding a workaround. Testing the fix or workaround to ensure it functions is the last stage in the debugging process. Developers frequently have to perform debugging, and in my opinion, debugging is an iterative process. I first try to pinpoint the issue’s cause before recognizing the error itself. I fixed the problem after I found its source and retested the software. I keep going through this step until the software is error-free.
24. Briefly Describe Some Of The Challenges That The It Sector Is Currently Facing?
The biggest problem now facing the IT sector is the lack of skilled workers with the necessary abilities. I’ve observed a lot of businesses struggle with this problem, particularly when they’re trying to find someone with a specific technical skill set. In my previous position, we had problems hiring a seasoned engineer with Java coding expertise. For one to guide the other, we chose to hire more than one developer having different skill sets.
25. Give An Example Of A Challenging Issue You Resolved In The Previous Job.
In my former position, I had to come up with a fix for a problem that touched numerous company departments. Employees’ computers’ inability to access specific programs was the problem. To fix these problems and allow all staff members to utilize the computer programs once more, I collaborated with other team members.
Getting through the interview at NVIDIA can be difficult, even for experienced individuals. Because candidates’ responses at the final interview reveal a great deal about their enthusiasm and interest level in the roles and the firm addition to their technical knowledge, they must rehearse responding to the NVIDIA interview questions. The goal of the interview process at NVIDIA has to evaluate a candidate’s aptitude for handling challenging coding and system design issues. To ace the interview, you want to prepare strategically and diligently, covering every important topic from the interviewer’s point of view.