Senior System Software Engineer - GPU

NVIDIA is searching for a highly motivated, creative engineer with experience in system software to join the GPU Kernel System Software team. As someone who is hardworking and passionate about their work, you will design key aspects of our production GPU kernel drivers and embedded SW. You should demonstrate the ability to excel in an environment with complex software and hardware designs.

What you'll be doing:

• 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.

• Be heavily involved with the early modeling and simulation required to produce our world-class GPU chips.

• 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. 

• Own roadmap tracking, document technology and strategy changes, and rationale for decisions and drive alignment across teams across the globe.

• Provide helps and recommendations or feedback to teams regarding decisions surrounding topics such as high-quality, infrastructure, continuous integration, and testing strategy.

What we need to see:

• 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 as well as having shown initiative in pursuing independent coding projects.

• 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 is invaluable.

Ways to stand out from the crowd:

• Background and strength with complex AI & GPU computing system architecture design is invaluable.

• 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.

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, passionate, and self-motivated, we want to hear from you!