Senior SOC Performance Engineer, Cloud

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's 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 company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users, Cloud customers and the billions of people who use our company 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 company Clouds Vertex A

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Minimum qualifications:
Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience.
5 years of experience in SoC or Central Processing Unit (CPU) performance and power modeling, analysis, and debugging.
Experience with computer architecture, especially in areas like interconnects, traffic 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 models in C++.
Experience in pre-silic