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Nvidia Enterprise Support Intern 
China, Beijing, Beijing 
618118293

01.12.2024

What you'll be doing:

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.

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.