Senior CPU Architect, Google Cloud
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Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
- Candidates will typically have 8 years of experience with microprocessor architecture and related technologies and algorithms.
- Experience with CPU architecture performance analysis, tools, and simulators at different abstraction levels (i.e., cycle accurate, functional, emulation).
Preferred qualifications:
- Advanced degree in Electrical Engineering, Computer Engineering, or Computer Science, with an emphasis on computer architecture.
- Experience analyzing workloads and definitions of microarchitectural features.
- Knowledge of ARM architecture.
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.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
- Lead architectural definition of CPU core designs, facilitate and make final decisions.
- Participate in and influence the building of processor performance analysis infrastructure.
- Influence the development of architectural models with varying configurations across product categories.
- Perform Performance, Power, Area (PPA) trade-off analysis for architecture and microarchitecture features, communicate analysis results in both qualitative and quantitative fashion to support decisions.
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