Deep Learning Hardware Engineer

Intel's Client Computing Group (CCG) is seeking a Deep Learning Hardware Engineer to join their Client Graphic and AI group. This role combines hardware architecture with deep learning expertise, focusing on Neural Processing Unit (NPU) development. The position offers an opportunity to shape Intel's AI product roadmap through architectural innovation and deep learning optimization.

The role requires extensive experience in both hardware architecture and AI/deep learning, making it ideal for someone with a strong technical background in both domains. You'll work on cutting-edge NPU architecture, collaborate across teams, and contribute to Intel's AI hardware development strategy.

The position offers competitive compensation ($211,820-$299,040) and comprehensive benefits including stock options, bonuses, and health coverage. This is an on-site role available in multiple locations including Santa Clara, Hillsboro, Folsom, and Phoenix.

As part of Intel's largest business unit, you'll have the opportunity to influence the future of AI hardware acceleration while working with state-of-the-art technology and collaborating with industry experts. The role combines technical leadership with hands-on development, requiring both strategic thinking and practical implementation skills.

This position would be ideal for someone passionate about AI hardware acceleration, with a strong background in computer architecture and deep learning, who wants to make a significant impact on next-generation AI computing solutions.