Silicon Architecture/Design Engineer, PhD, Early Career

Shape the future of AI/ML hardware acceleration as a Silicon Architect/Design Engineer and drive cutting-edge TPU technology that fuels Google's most demanding AI/ML applications. You will collaborate with hardware and software architects and designers to architect, model, analyze, define and design next-generation TPUs, balancing performance, power, features, schedule, and cost. The ML, Systems, & Cloud AI (MSCA) organization designs, implements, and manages the infrastructure for Google services and Google Cloud, prioritizing security, efficiency, and reliability.

Requirements

• PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering or related technical field, or equivalent practical experience.
• Experience with accelerator architectures and data center workloads.
• Experience in programming languages (e.g., C++, Python, Verilog), Synopsys, Cadence tools.