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.
As a CPU architecture and performance architect, you'll be the key contributor to improve processor instruction set architecture, to develop innovative microarchitecture features, and to deliver Google’s advanced SoC products. You’ll have the opportunity to collaborate with talents in system performance and software teams to plan and conduct application and benchmark performance analysis and to project their performance at various design phases. Leveraging your CPU-specific knowledge and leadership, you’ll be guiding junior CPU architects and working with engineers in power, thermal, security, and physical design teams to determine the CPU subsystem configuration and features.
Responsibilities
- Drive performance correlation between the performance model and RTL implementation, including micro-benchmark development, pre-silicon performance correlation, and post-silicon performance analysis and debugging.
- Plan and evaluate CPU architecture features from both architecture and performance angles.
- Develop a performance model for performance analysis and microarchitecture design study.
- Collaborate with other teams, such as RTL design, design verification, and physical design, to develop a high performance and efficient CPU implementation.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience with high-performance microprocessor architecture, CPU microarchitecture, and workload performance analysis.
- Experience in high-performance CPU architecture.
- Experience with at least one area: instruction set architecture (ISA), machine learning (ML), or branch prediction.
- Experience in performance modeling, analysis, correlation, and workload characterization.
- Experience with C/C++ and scripting languages (e.g., Python).
Preferred qualifications:
- PhD degree in Electrical Engineering, Computer Engineering, or Computer Science, with a focus on computer architecture or machine learning.
- 6 years of high-performance microprocessor architecture, microarchitecture, performance, and design experience.
- Experience in leading CPU/ML performance model development, performance analysis, performance correlation, and workload characterization.
- Deep knowledge with processor instruction set architecture (e.g., ARM, RISC-V, x86).
- Knowledgeable on system software components, such as Linux, drivers, and runtime.