Google is seeking a CPU Architecture Lead to join their hardware team, focusing on developing custom silicon solutions that power Google's direct-to-consumer products. This role combines advanced CPU architecture with Google's AI and software capabilities to create next-generation hardware experiences.
As a Lead CPU Architect, you'll be instrumental in improving processor instruction set architecture and developing innovative micro-architecture features for Google's advanced SoC products. You'll work closely with Google's Android applications and AI teams to analyze performance and conduct benchmark analysis across various design phases.
The position requires deep expertise in high-performance microprocessor architecture, with at least 10 years of experience in the field. You'll lead frontend microarchitecture development, focusing on areas like branch prediction and instruction fetch, while collaborating with performance teams to evaluate new concepts and features.
The role offers a competitive compensation package ranging from $227,000 to $320,000, plus bonus, equity, and comprehensive benefits. You'll be working from one of several locations: Poughkeepsie, NY; Austin, TX; Mountain View, CA; or Portland, OR.
This is an opportunity to shape the future of Google's hardware products, working with cutting-edge technology and some of the industry's brightest minds. You'll be part of Google's mission to organize the world's information and make it universally accessible and useful, while helping to create radically helpful experiences through the combination of AI, software, and hardware.
The ideal candidate will have strong technical skills in CPU architecture, performance modeling, and system software components, preferably with an advanced degree in Electrical Engineering, Computer Engineering, or Computer Science. Knowledge of processor instruction set architectures (ARM, RISC-V, x86) and experience with Linux and drivers are valuable assets for this role.
Join Google's hardware team to push the boundaries of what's possible in CPU architecture and help deliver unparalleled performance, efficiency, and integration in products used by millions worldwide.