CPU Architecture and Performance Engineer

Google•Apply•Published 3 days ago•First seen 3 days ago

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

In this role you will be among the contributors to improve processor instruction set architecture, to develop innovative microarchitecture features, and to help deliver Google’s advanced CPU products. You will have the opportunity to collaborate with talents in system performance and software teams to analyze application and benchmark performance and to project their performance at various design phases. Leveraging your CPU-specific knowledge, you will be guided by executive CPU architects and work with exceptional engineers in power, thermal, security, physical design and other subsystem teams to determine the CPU subsystem configurations and features, and to support the integration of CPU subsystems.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

Conduct performance correlation between the performance model and RTL implementation, including micro-benchmark development and pre-silicon and post-silicon performance bug triage.
Develop a performance model for performance analysis and microarchitecture design study.
Work with executive CPU architects to evaluate CPU features from both architecture and performance angles.

Minimum qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
1 year of experience in high-performance microprocessor architecture, microarchitecture, performance, and design.
Experience in performance modeling, analysis, correlation, and workload characterization, with experience in C/C++ and scripting languages, e.g. Python.

Preferred qualifications:

Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience with CPU/ML performance model development, performance analysis, performance correlation, and workload characterization.
Experience with processor instruction set architecture (e.g., ARM, RISC-V, x86).
Knowledge of system software components, such as Linux, drivers, and runtime.
Knowledge of high-performance CPU/ML architecture and microarchitecture.