Senior Systems Software Engineer, Base OS - NPI

Nvidia

  • Taipei City
  • Permanent
  • Full-time
  • 1 month ago
NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We're looking to grow our company, and build our teams with the most resourceful people in the world. Join us at the forefront of technological advancement.What you'll be doing:The NVIDIA Grace Hopper Superchip and NVIDIA HGX GPU boards are the foundation for the next generation of AI and HPC platforms. Your role as a BaseOS Engineer is to enable Grace within Linux distros such as RedHat and SLES, and to support both internal validation teams and external customers of Grace Hopper HGX systems.Work closely with System/Software development teams to build the common infrastructure for automation and use the latest industry standard tools!Partner with Hardware and Firmware development teams to bring up new NVIDIA platforms, from power on to OS boot.What we need to see:BS or Masters in computer science, or related field or equivalent experience.5+ years of experience.Excellent C and Python programming skills. Your expertise in coding is essential to your success in this role. Familiarity with at least one major Linux distro (Ubuntu, RedHat, SLES) is required.Experience creating your own Debian or RPM package and repository is highly desirable.Knowledge of OS concepts such as filesystems, job scheduling, device drivers, and storage, is required. Knowledge of virtualization concepts such as device passthrough and SR-IOV is a way to stand out.Background in PCIe, USB, and similar low level protocols is recommended. Experience with UEFI and BMC firmware is strongly favored.Basic knowledge of tools deploying Containers or Kubernetes technologies is preferred.Having written software in GitHub with exposure to opensource development life cycle is desired.Your experience with complex system-level debugging is invaluable. Excellent communication and planning skills.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Nvidia