Nvidia is hiring a
GPU Virtualization Engineer

NVIDIA has continuously reinvented itself over two decades.

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.

This is our life’s work — to amplify human imagination and intelligence.

AI becomes more and more important in AI-City and self-driving car. NVIDIA is at the forefront of the AI-City and self-driving revolution and providing powerful solutions for them.

All these solutions are based on GPU-accelerated libraries, such as CUDA, cuDNN and TensorRT, etc.

Now, we are now looking for an CPU computing engineer based in Shanghai.

What you’ll be doing:

• Design and develop GPU Virtualization function for NVIDIA Drive OS

• Work with cross-functional teams to develop and enable GPU virtualization product features using C/C++

• Triage and fix bugs related to GPU functionality.

What we need to see:

• Bachelor of Computer Science or Electrical Engineering is required and Master Degree is preferred.

• Strong programming skills in C and C++

• Proven track experience in C/C++ and Driver level integration experience.

• Use your knowledge and experience in Operating Systems to design, document, develop and debug complex features.

• Use Kernel tools to debug and fix problems found in our virtualization stack.

• Communicate with internal teams and external customers.

• Create and enhance existing GPU Test tools to aid test automation.