Enterprise Support Intern

NVIDIA has been a pioneer in transforming computer graphics, PC gaming, and accelerated computing for over 25 years. Our legacy of innovation, driven by remarkable technology and talented individuals, continues to thrive. Today, we are at the forefront of leveraging the limitless potential of AI to define the next era of computing, where our GPUs serve as the brains powering computers, robots, and self-driving cars, enabling them to understand the world. As an intern at NVIDIA, you will be part of a diverse and supportive environment that encourages you to do your best work and make a meaningful impact.

What you'll be doing:

Join our enterprise tech team and step into a world of technological marvels!

Here, GPUs are at the heart of what we do. They're not just for graphics but are the driving force behind AI computing, powering advanced deep learning models. With DGX/SuperPod systems in our arsenal, we're at the forefront of harnessing their immense potential.

Cluster management is our forte too.

We expertly configure and oversee clusters to ensure seamless collaboration between nodes, supercharging both HPC and AI workloads.

From optimizing the architecture of GPU servers to leveraging cutting-edge networking for lightning-fast data transfer between GPUs, we cover it all. Whether it's enabling vGPU for amazing visual experiences on desktops or fine-tuning AI GPUs in datacenters for large-scale projects, we've got you covered.

Plus, we handle everything from baremetal to virtualization with Docker in Kubernetes.

Work alongside industry experts and unlock your potential in this exciting, fast-paced tech domain where you'll be constantly learning and growing!

What we need to see:

• Pursuing BS or higher degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• Strong system software engineering skills combined with a drive to solve hard problems.
• Strong programming and debugging skills in Python, C, C++.
• Good understanding of operating system internals and embedded systems.
• Good English written and oral communication skills to collaborate with other engineers (worldwide).
• A great teammate; self-motivated and the ability to work independently with minimal direction.
• A deep understanding at least in 2 mentioned technical areas:Cluster Management/GPU Computing/Deep Learning Frameworks/Data Storage:/Performance Tuning/Proficiency in Networking Technology/Fault Tolerance:/Linux system

Ways to stand out from the crowd:

• Experience in working with the Linux and open-source software communities.
• Being a fast learner, passionate about learning new things, constantly curious, and innovative are all highly valuable.
• Proven interests and attitude to strive for the most secure, reliable and quality firmware/software.
• Experienced in Nvidia GPU or HPC networking products ever. e.g. DGX servers, InfiniBand switches and adapters, DPUs, etc.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.