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CPU Performance Architect

Full-time Google in Information Technology
  • Post Date : August 31, 2022
  • Apply Before : December 31, 2022
  • View(s) 47
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Job Detail

  • Career Level Mid Level
  • Experience 4 Years
  • Industry Computer Software/Engineering
  • Qualifications Bachelor’s Degree
  • Remote Job Yes

Job Description

Minimum qualifications:

Master’s degree in Electrical Engineering, Computer Engineering or Computer Science, emphasizing on computer architecture, or equivalent practical experience.
Experience with modern, high-performance CPU architecture and microarchitecture.
Experience with performance modeling, performance analysis, and workload characterization.
Experience with C/C++ and scripting languages (e.g., Python).
Preferred qualifications:

PhD in Electrical Engineering, Computer Engineering, or Computer Science, emphasizing on computer architecture.
Experience in leading CPU performance model development, performance analysis, and workload characterization.
Experience in microarchitecture innovation.
Familiarity and experience with ARM Architecture.
Knowledge in system software components, such as Linux, drivers, and runtime.
About the job

In this role, you’ll be the key contributor to the CPU architecture and microarchitecture definitions. You’ll work with micro-architects, and hardware and software teams to research innovative ideas. You’ll assess the ideas by using the performance analysis infrastructure that you and your team develop. You’ll profile the workloads and analyze their key performance characteristics, and will also conduct performance analysis and debug performance bottlenecks.

Google’s mission is to organize the world’s information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people’s lives better through technology.

Build processor performance analysis infrastructure, which includes preparing workloads, developing performance models, porting a design onto a hardware emulator, and conducting performance and workload analysis.
Work with the RTL team to correlate the performance model with the RTL.
Collaborate with key micro-architects to develop and assess microarchitecture ideas.
Select appropriate industry standard processor benchmarks for goal setting. Define and produce custom in-house benchmark suites using first-party applications.
Participate in PPA (Performance, Power, Area) tradeoff analysis for architecture and microarchitecture features. Communicate analysis results in both qualitative and quantitative fashion to support decisions.

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