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 AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Utilize performance and power models from the architecture team, as well as lab measurements, to validate and tune performance against established goals.
Design and build tests to verify that the SoC design meets those targets.
Develop and implement advanced technologies for running benchmark representations on pre-silicon environments.
Analyze problems, identify core design weaknesses, and drive the resolution of performance issues in both pre and post-silicon environments.
Develop performance measurement frameworks, including key performance indicators (KPIs), to produce regular reports and dashboards that support stakeholder decision-making.
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 AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Utilize performance and power models from the architecture team, as well as lab measurements, to validate and tune performance against established goals.
Design and build tests to verify that the SoC design meets those targets.
Develop and implement advanced technologies for running benchmark representations on pre-silicon environments.
Analyze problems, identify core design weaknesses, and drive the resolution of performance issues in both pre and post-silicon environments.
Develop performance measurement frameworks, including key performance indicators (KPIs), to produce regular reports and dashboards that support stakeholder decision-making.
Requirements:
Minimum qualifications:
Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience.
5 years of experience in SoC or CPU performance and power modeling, analysis, and debugging.
Experience in programming languages such as C, C++, or similar.
Preferred qualifications:
Experience with hardware description languages like Verilog or SystemVerilog.
Experience in pre and post-silicon analysis and debugging.
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++ with, the ability to identify, troubleshoot, and solve performance problems.
Understanding of computer architecture fundamentals, especially in areas like interconnects, traffic QoS, distributed caches, and I/O flows.
Minimum qualifications:
Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience.
5 years of experience in SoC or CPU performance and power modeling, analysis, and debugging.
Experience in programming languages such as C, C++, or similar.
Preferred qualifications:
Experience with hardware description languages like Verilog or SystemVerilog.
Experience in pre and post-silicon analysis and debugging.
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++ with, the ability to identify, troubleshoot, and solve performance problems.
Understanding of computer architecture fundamentals, especially in areas like interconnects, traffic QoS, distributed caches, and I/O flows.
This position is open to all candidates.
