Deep Learning Performance Architect

NVIDIA, the world leader in accelerated computing, is seeking a Deep Learning Performance Architect to join their innovative team. This role focuses on developing GPU-accelerated Deep Learning software and optimizing deep learning kernels for inference. The position offers an opportunity to work at the forefront of AI technology, collaborating with researchers worldwide who are using NVIDIA GPUs to power breakthroughs in numerous areas.

The role involves working with cutting-edge deep learning technologies, specifically optimizing performance through TensorRT implementation. You'll be part of a fast-paced, customer-oriented team, developing solutions that impact various sectors including automotive, image understanding, and speech processing. The position requires strong technical expertise in C/C++ programming, GPU architecture, and deep learning frameworks.

As a Deep Learning Performance Architect, you'll contribute to NVIDIA's mission of transforming industries through AI and digital twins. The role offers exposure to the latest developments in AI and machine learning, with opportunities to attend conferences and engage with customers for technical consultation. NVIDIA's reputation as one of technology's most desirable employers, combined with the chance to work alongside brilliant minds in the field, makes this an exceptional opportunity for those passionate about advancing AI technology.

The ideal candidate will bring a combination of strong academic credentials (Masters or PhD) in computer science or related fields, extensive programming experience, and a deep understanding of GPU architecture and optimization techniques. This role represents a unique opportunity to shape the future of AI acceleration while working with state-of-the-art technology at a company that's driving innovation in multiple industries.