Minimum qualifications:
• Master's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience in high-performance microprocessor architecture, micro-architecture, performance, and design.
• Experience in CPU architecture with CPU blocks.
• Experience with C/C++ and scripting languages.
• Experience in performance modeling, analysis, correlation, and workload characterization.
Preferred qualifications:
• PhD in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
• Experience leading CPU/ML micro-architecture exploration, performance model development, performance analysis, performance correlation, and workload characterization.
• Knowledgeable on system software components, such as Linux, drivers, and runtime.
• Knowledge on processor instruction set architecture (e.g., ARM, RISC-V, x86).
• Excellent verbal and written communication skills.
About the job
Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.
With your technical expertise, you lead projects in multiple areas of expertise (i.e., engineering domains or systems) within a data center facility, including construction and equipment installation/troubleshooting/debugging with vendors.
As a Lead CPU architect in architecture and performance, you'll be the key contributor to improve processor instruction set architecture, to develop innovative micro-architecture features, and deliver Google’s advanced SoC products. You’ll have the opportunity to collaborate with talents in Google’s Android applications and Google’s AI teams to plan and conduct application and benchmark performance analysis, and to project their performance at various design phases.
Responsibilities
• Deliver solutions to problems that may be ambiguous or lacking clear precedent including CPU performance, micro-architecture design, tool infrastructure, and methodology.
• Plan, drive, and evaluate ARM’s architecture features from both architecture and performance angles.
• Define and write CPU subsystem architecture specifications.
• Lead the collaboration with RTL, design verification, and physical design teams to develop an efficient CPU implementation.
• Drive performance correlation between the performance model and RTL implementation and perform pre-silicon and post-silicon performance bug triage.
