GPU compute performance engineer

Intel's AI-GPU architecture team is seeking a GPU compute performance engineer to help shape the future of Intel's GPU designs for AI applications. This role combines hardware architecture and software optimization, offering a unique opportunity to influence next-generation GPU development.

The position involves deep technical work in AI workload analysis, performance optimization, and architecture evaluation. You'll be working with cutting-edge AI technologies, including Large Language Models and Stable Diffusion, while developing optimized GPU kernels and performance analysis tools.

As part of Intel's Client Computing Group (CCG), you'll be at the forefront of delivering innovative computing experiences. The role requires a strong technical background with an MS degree and 2-3 years of relevant experience. You'll collaborate with experts across the organization, contributing to both hardware and software innovations.

This is an ideal opportunity for someone passionate about AI hardware optimization, with strong analytical skills and the ability to work in a fast-paced environment. The position offers the potential to grow into a performance architect role, making significant contributions to Intel's future GPU architectures.

Working at Intel means joining a global technology leader with a strong focus on innovation and professional development. The company offers comprehensive benefits and the chance to work on projects that shape the future of computing technology.