Senior CPU Architecture & Performance Architect

Google LLC; Mountain View (CA); On-site; USD 150,000 - 223,000; Full time

Job summary

Google LLC is seeking a Hardware Engineer specialized in CPU architecture and performance to design and optimize cutting-edge systems for massive data centers. You will lead end-to-end research across data-center facilities, mentoring engineers and collaborating with RTL, Software, and AI teams.

You will develop performance models, specify CPU subsystems, and drive pre/post-silicon performance analysis, contributing to high-volume manufacturing for Google's world-class infrastructure.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with microprocessor architecture, microarchitecture, performance, and design.
• Experience with performance modeling, analysis, correlation, and workload characterization.
• Experience with CPU architecture (e.g., CPU block).
• Experience with C/C++ and scripting languages.

Responsibilities

• Plan and evaluate ARM’s architecture features from both architecture and performance angles.
• Develop a performance model for performance analysis and microarchitecture study.
• Define and write CPU subsystem architecture specifications.
• Lead collaboration with RTL, Design Verification, and Physical Design teams to develop a high performance and efficient CPU implementation.
• Drive performance correlation between the performance model and RTL implementation, including micro-benchmark development and pre-silicon and post-silicon performance bug triage.

Skills

CPU architecture

Performance modeling

C/C++

Scripting languages

Education

Bachelor's degree in Electrical Engineering / Computer Engineering / Computer Science

Master's degree or PhD in Electrical Engineering / Computer Engineering / Computer Science

Tools

Linux

Drivers

Runtime

Job description

Google LLC is seeking a Hardware Engineer specialized in CPU architecture and performance to design and optimize cutting-edge systems for massive data centers. You will lead end-to-end research across data-center facilities, mentoring engineers and collaborating with RTL, Software, and AI teams.

You will develop performance models, specify CPU subsystems, and drive pre/post-silicon performance analysis, contributing to high-volume manufacturing for Google's world-class infrastructure.