Google is seeking a CPU Architecture Lead to join their team developing custom silicon solutions for direct-to-consumer products. This role combines advanced hardware architecture with Google's AI and software capabilities to create next-generation computing experiences.
As the Lead CPU Architect focusing on architecture and performance, you'll be instrumental in advancing processor instruction set architecture and developing innovative micro-architecture features for Google's 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 efforts in frontend microarchitecture development, focusing on elements like branch prediction and instruction fetch. The role involves extensive collaboration with performance teams and design teams to evaluate new concepts and conduct Performance, Power, Area (PPA) tradeoff analyses.
The ideal candidate will have a Bachelor's degree (Master's or PhD preferred) in Electrical Engineering, Computer Engineering, or Computer Science, with strong knowledge of CPU architecture, system software components, and processor instruction set architectures like ARM, RISC-V, and x86. Experience with C/C++, scripting languages, and Linux is essential.
This is an opportunity to shape the future of Google's hardware experiences, working with cutting-edge technology and talented teams across the organization. The role offers competitive compensation ($227,000-$320,000 base salary plus bonus, equity, and benefits) and the chance to work in several potential locations including Poughkeepsie, Austin, Mountain View, or Portland.
The position combines technical leadership with hands-on architecture work, requiring both deep technical knowledge and the ability to guide and collaborate with other engineers. You'll be at the forefront of developing processors that power Google's next generation of consumer products, making computing faster, more efficient, and more powerful.