SOC Performance Engineer, Google Cloud

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Haifa, Israel; Tel Aviv, Israel.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.
  
  

About The Job

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

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .