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Senior Systems Software Engineer, Base OS - NPI

NVIDIA

🌍 North America 🏠 Remote ⏱ Part-time 💼 Senior 🗓 4 weeks 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: NVIDIA BaseOS is the Linux distribution of the NVIDIA GPU based platforms deployed in AI, Data-Analytics, Autonomous vehicle industries. Your role as a Base OS Engineer is to develop the Ubuntu and RHEL based OS image flavors across platforms. Your role as a Base OS Engineer will also include sustaining the existing NVIDIA DGX and HGX systems. Work closely with System/Software development teams to build the common infrastructure for automation and use the latest industry standard tools! Work closely 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. Experience with complex system-level debugging is invaluable, from X/Wayland to systemd to analyzing crash dumps to install issues. Excellent communication and planning skills. Ways to stand out from the crowd: Knowledge of virtualization concepts such as device passthrough and ...

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