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 Google's direct-to-consumer products. This role combines hardware architecture expertise with AI/ML workload optimization, making it a crucial position in Google's CPU development efforts.

The position involves collaborating with Google's Android applications and AI teams to conduct performance analysis and provide insights for hardware-software co-design. You'll be responsible for building traces and benchmarks that provide consistent workload views for all stakeholders, directly contributing to Google's CPU project success and product enhancement.

As part of Google's mission to organize world's information and make it universally accessible, you'll work at the intersection of AI, Software, and Hardware to create innovative solutions. The role offers the opportunity to shape next-generation hardware experiences, focusing on unparalleled performance, efficiency, and integration.

The position requires strong technical expertise in CPU architecture, performance analysis, and AI/ML workloads, combined with programming skills in C/C++ and Python. You'll lead methodology development, mentor junior engineers, and drive cross-team collaboration. The role offers competitive compensation including base salary, bonus, equity, and comprehensive benefits.

This is an excellent opportunity for experienced architects who want to impact Google's future hardware development, particularly in AI acceleration and performance optimization. The role combines technical leadership with hands-on architecture work, making it ideal for those passionate about both AI and computer architecture.