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 expertise with AI/ML workload optimization, requiring deep understanding of CPU architecture and performance analysis.

The position involves collaborating with Google's Android applications and AI teams to conduct comprehensive performance analysis and workload characterization. You'll be responsible for building infrastructure and methodologies that enable effective hardware-software co-design, creating traces and benchmarks for consistent performance evaluation across stakeholders.

As a senior technical role, you'll be working at the intersection of CPU architecture and AI/ML workloads, directly contributing to Google's CPU projects and product enhancement. The role requires expertise in high-performance computing, strong programming skills in C/C++ and Python, and experience with Android/Linux performance tuning tools.

The position offers competitive compensation ($156,000-$229,000 + bonus + equity + benefits) and the opportunity to work with cutting-edge technology at one of the world's leading tech companies. You'll be part of a team pushing the boundaries of hardware performance and efficiency, working on products used by millions of people worldwide.

This role is perfect for someone with a strong background in computer architecture and AI/ML systems who wants to make a significant impact on next-generation hardware experiences. You'll have the chance to mentor junior engineers and drive cross-team collaboration while working on challenging technical problems at the forefront of AI hardware development.