System Software Engineer - CUDA Driver

Details

NVIDIA’s invention of the GPU in 1999 sparked 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 smartest people in the world. Join us at the forefront of technological advancement.

Responsibilities

You can expect to be heavily involved through all aspects of development of our world-class products, ranging from design feedback, early modeling and simulation of hardware in pre-silicon environments, through early silicon bringup and finally deployment of features in production software that is delivered to end users. You should be eager to learn about, and contribute to, the design of new compute and graphics drivers and new GPU architectures.

Requirements

• Bachelor (or equivalent experience) or Masters of Science in Computer Science or Computer Engineering (a PhD is a plus)
• 3+ years of relevant systems software development experience
• Expert C programming skills, with strong knowledge of parallel programming
• Excellent knowledge of computer system architectures
• Low-level operating system knowledge a requirement
• You have experience with complex system-level development and debugging
• We would like to see applicants with a strong ability to multitask and perform well under pressure
• Be self-driven, with a focus on execution and quality, with great communication and planning skills.

Ways to stand out from the crowd:

• Engineers with CUDA experience are always a plus
• Hardware simulation, emulation, and bringup experience is desirable
• Kernel experience with Linux, Android, Chrome, or Windows systems is helpful.