CPU Performance Architect
- Bachelor's degree in Electrical Engineering, Computer Engineering, or Computer Science, or equivalent practical experience.
- Experience with CPU architecture and microarchitecture, and subsystem integration at architectural and RTL levels.
- Experience with C/C++ and scripting languages (e.g., Python).
- Experience with ARM Architecture and CoreSight debug architecture.
- Knowledge of system software components, such as Linux, drivers, and runtime.
- Knowledge of standard CPU benchmarks such as SPECint 2006 and SPECint 2017.
- Knowledge of GEM5 based CPU and memory models.
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.
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.
- Assess performance analysis infrastructure, which includes preparing workloads, developing performance models, and conducting performance and workload analysis.
- Participate in Performance, Power, Area (PPA) trade-off analysis for architecture and micro-architecture features.
- Communicate analysis results in qualitative and quantitative fashion to support major decisions.
- Understand performance bottlenecks and CPU performance analysis.
- Work with the RTL team to correlate the performance model with the RTL and define future roadmap features and performance requirements.
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We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.
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