SOC performance engineer, cloud

be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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.
the ml, systems, & cloud ai (msca) organization at our designs, implements, and manages the hardware, software,  Machine Learning, and systems infrastructure for all our services (search, youtube, etc.) and our cloud. our end users are , cloud customers and the billions of people who use our services around the world. we prioritize security, efficiency, and reliability across everything we do - from developing our latest tpus to running a global network, while driving towards shaping the future of hyperscale computing. our global impact spans software and hardware, including our clouds vertex ai, the leading ai platform for bringing gemi

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minimum qualifications:
bachelor's degree in  Computer Science, computer engineering, or electrical engineering, or equivalent experience.
8 years of experience in  SOC or central processing unit (cpu) performance and power modeling, analysis, and debugging.
experience with computer architecture, focusing in the areas like interconnects, traffic quality of service (qos), distributed caches, and i/o flows.
experience in programming languages such as  C,  C ++, or similar.
experience in identifying, troubleshooting, and solving performance problems.
preferred qualifications:
experience with hardware description languages like verilog or systemverilog.
experience in one or more functional areas, such as coherent fabrics (e.g., amba chi/axi), memory controllers (e.g., lpddr5, ddr5), or i/o controllers (e.g., pcie, cxl).
experience in productizing features that enhance the performance or power characteristics of a design.
experience in building fast, accurate  SOC /cpu performance