As Senior Director of the Chipset and System-on-a-Chip (SoC) Architecture Team, you will in an executive leadership role responsible for exploring, owning, and executing the architecture for future Google Tensor SoCs and chipsets. You will lead a consolidated organization of full-time employees whose primary mandate is to explore, analyze, and make recommendations on architecture options and innovations for future SoCs and chipsets, including topics such as memory architecture and chiplets; identify and drive across a cross-functional organization new system level features for performance and power optimization of critical user journeys; and ensure all architectural innovations are driven to commercialization. In this role, you will hold decision-making autonomy over SoC and chipset architecture exploration, analysis, recommendations, and drive to commercialization. The role requires experts' ability to make high-level trade-offs to drive system level hardware and software innovation. You will directly impacts the competitiveness of Google's flagship devices (e.g. Pixel) by seeing technology trends and preparing Tensor architecture for the future critical user journeys, particularly Imaging, GenAI, and Gemini use cases. Additionally, you will ensure that future generations of silicon are optimized for performance, power, and cost, especially for first-party use cases, widening Google's lead on consumer GenAI and Gemini on-device performance while preventing costly silicon area inflation and unproductized hardware blocks. You will direct a geographically distributed, vertically integrated organization across Mountain View, Bangalore, and Taiwan. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Executive