GPU Cloud Infrastructure - Senior System Software Engineer
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 in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you! NVIDIA is looking for a highly motivated, creative engineer with experience in Linux kernel and hypervisor development to join the NVIDIA GPU Cloud Infrastructure team. We need a developer who is passionate about system software, the Linux kernel, virtualization and has an appetite for looking at the big picture when crafting solutions. We collaborate with many internal teams (software, hardware, SWQA), external R&D partners and customers to define product scope and deliver the same. In this position, you will be contributing to build virtualization technologies used in products like NVIDIA GeForce Now.
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What you'll be doing:
- Coordinate with multi-functional teams to deliver virtualization solutions
- Work with team members spread out across timezones in managing host infrastructure for GPU cloud.
- Translate requirements to tasks, owning design, implementation and communication
- Track upstream Linux kernel/QEMU developments and security updates
- Maximize performance of the system for multi-tenant gaming and AI use cases
- Enhance, debug and maintain NVIDIA's virtualization solutions.
What we need to see:
- Bachelor's or Master's degree in Computer Science or equivalent experience
- 8+ years of industry experience
- Proficient in C/C++ with strong software development, optimization and analytical skills
- Strong articulation skills for crafting and improving technical documents and to engage globally distributed engineering team
- Solid understanding of the Linux kernel with 3-5 years of proven experience in Linux kernel, virtualization or device driver development
- Familiarity with DEB/RPM based distribution packaging mechanisms, RHEL derivative distro experience is a plus!
- Good grasp of Linux scheduling, memory management and resource partitioning concepts
- Eagerness to learn new technologies and constantly increase one's expertise
- Flair for debugging complex hypervisor/kernel VM interactions
Ways to stand out from the crowd:
- Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.)
- Open-source Linux kernel contributions
- Hands-on experience with Linux KVM, libvert, qemu
- Software Defined storage and networking experience especially in the areas of kubernetes ecosystem.
- Kernel compilation, patching, debugging expertise is keenly valued!
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 in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!