CPU AI Workloads and Performance Architect

Google is seeking a CPU AI Workloads and Performance Architect to join their team developing custom silicon solutions for direct-to-consumer products. This role combines advanced CPU architecture with AI/ML expertise, focusing on performance optimization and hardware-software co-design.

The position involves collaborating with Google's Android applications and AI teams to conduct sophisticated performance analysis and workload characterization. You'll be responsible for building critical infrastructure and methodologies that bridge hardware and software development, creating traces and benchmarks that provide consistent evaluation frameworks.

As a senior technical role, you'll work at the intersection of CPU architecture and artificial intelligence, optimizing performance for next-generation AI applications. The role requires deep expertise in computer architecture, performance analysis, and software development, with opportunities to influence the direction of Google's CPU projects.

The ideal candidate brings strong technical skills in CPU architecture, performance analysis, and programming, combined with the ability to lead cross-functional initiatives and mentor other engineers. This position offers the opportunity to work on cutting-edge technology that impacts millions of users while contributing to Google's hardware innovation.

Benefits include competitive compensation ($156,000-$229,000 base salary), bonus potential, equity grants, and comprehensive benefits package. The role offers the chance to work from several major tech hubs including Austin, Mountain View, Portland, and Poughkeepsie, providing flexibility in location while maintaining direct collaboration with key teams.

This is an excellent opportunity for experienced architects who want to shape the future of AI hardware while working with world-class teams and resources at one of tech's most influential companies.