Senior System Software Engineer - GPU

NVIDIA NVIDIA · Semiconductors · Taipei, Taiwan

Senior System Software Engineer role at NVIDIA focusing on the design, development, and verification of GPU kernel drivers and embedded software for next-generation GPU chips. Requires extensive C/C++ programming, low-level driver experience, and familiarity with computer system architecture. The role involves early modeling, simulation, and end-to-end product lifecycle involvement across various NVIDIA platforms.

What you'd actually do

  1. Leading the design, developing, and verifying bleeding edge technology into our next-gen GPU chips, such as Rubin/Feynman; collaborating to various degree with different teams, such as HW Arch/System engineers, SW fellow engineers, etc.
  2. Be heavily involved with the early modeling and simulation required to produce our world-class GPU chips.
  3. Follow the GPU devices all the way through the development process to all of NV’s platforms, such as data centers, desktops, notebooks, workstations, and gaming console products that are used throughout the world.
  4. Own roadmap tracking, document technology and strategy changes, and rationale for decisions and drive alignment across teams across the globe.
  5. Provide helps and recommendations or feedback to teams regarding decisions surrounding topics such as high-quality, infrastructure, continuous integration, and testing strategy.

Skills

Required

  • BS, MS or PhD degree in Computer Engineering, Computer Science, or related degree, or equivalent experience
  • 5+ years of significant software development experience
  • Excellent C programming, C++, and low-level driver experience
  • Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, embedded system, RISCV, RTOS, etc)
  • Kernel experience with Linux, Android, Chrome, or Windows systems
  • Experience with complex system-level debugging

Nice to have

  • Background and strength with complex AI & GPU computing system architecture design
  • Familiarity with Open systems, Kernel level security concepts, or Enterprise level security domain
  • Deep understanding of memory management, Graphic Render, or virtualization concepts
  • Experience with embedded system SW concepts, e.g.: RTOS and overlay programming models
  • Validated leadership and communication skills with multi-functional teams across organizational boundaries and geographies

What the JD emphasized

  • Excellent C programming, C++, and low-level driver experience
  • complex system-level debugging
  • complex AI & GPU computing system architecture design