GPU Computing Engineer

NVIDIA, a pioneer in GPU technology and AI solutions, is seeking a GPU Computing Engineer to join their team in Shanghai. This role sits at the intersection of AI and automotive technology, focusing on GPU-accelerated computing solutions for AI-City and self-driving cars. The position involves working with cutting-edge technologies like CUDA, cuDNN, and TensorRT, requiring both technical expertise and strong communication skills.

The ideal candidate will play a crucial role in analyzing and improving the performance of NVIDIA's GPU computing platforms, working with distributed teams across the globe. This position offers the opportunity to work on technology that's transforming industries through AI and deep learning applications. The role combines technical problem-solving with customer interaction, requiring someone who can both understand complex technical issues and communicate solutions effectively.

NVIDIA's position as a leader in accelerated computing and AI makes this an exciting opportunity for someone passionate about pushing the boundaries of what's possible with GPU technology. The company's continuous reinvention and focus on innovation, particularly in AI and digital twins, provides an environment where engineers can make significant impacts on world-changing technologies.

This role would be perfect for someone with a strong background in computer science or electrical engineering, experience with deep learning frameworks, and the ability to work effectively in a global team environment. The position offers the chance to work on cutting-edge technology while contributing to NVIDIA's mission of amplifying human imagination and intelligence through technological innovation.