Staff CPU Architecture and Performance Architect at Google | Austin, TX, US | Rezi

Staff CPU Architecture and Performance Architect at Google

Staff CPU Architecture and Performance Architect

Google · Austin, TX, US

2 days ago

Staff CPU Architecture and Performance Architect

Google · Austin, TX, US

3 days ago
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About the Role

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. As a CPU architecture and performance architect, you'll be the key contributor to improve processor instruction set architecture, to develop innovative microarchitecture features, and to deliver Google’s advanced SoC products. You’ll have the opportunity to collaborate with talents in system performance and software teams to plan and conduct application and benchmark performance analysis and to project their performance at various design phases. Leveraging your CPU-specific knowledge and leadership, you’ll be guiding junior CPU architects and working with engineers in power, thermal, security, physical design and other subsystem teams to determine the CPU subsystem configuration and features, and to support the integration of CPU subsystem into the SoCs.

Responsibilities

  • Plan and evaluate CPU architecture features from both architecture and performance angles.
  • Develop a performance model for performance analysis and microarchitecture design study.
  • Drive performance correlation between the performance model and RTL implementation, including micro-benchmark development and pre-silicon performance correlation, and post-silicon performance analysis and debugging.
  • Collaborate with other teams, such as RTL design, design verification, and physical design, to develop a high performance and efficient CPU implementation.
  • Architect chips or chip-subsystems by analyzing data, writing specifications, coordinating, and negotiating with stakeholders, and creating solutions.

Requirements

  • 10 years of experience with CPU architecture and performance modeling.
  • Experience in performance modeling, performance analysis, and workload characterization.
  • Experience with computer architecture, microarchitecture, and digital design concepts.
  • Experience in product management, defining, and developing X86 or ARM processors.
  • Experience leading CPU and SoC performance model development, performance analysis, performance correlation, and workload characterization.
  • Experience with processor instruction set architecture (e.g., ARM, RISC-V, x86).
  • Experience with system software components, such as Linux, drivers, and runtime.
  • Experience in chip design.

Skills

  • CPU architecture
  • Performance modeling
  • Performance analysis
  • Workload characterization
  • Computer architecture
  • Microarchitecture
  • Digital design
  • Product management
  • X86 processors
  • ARM processors
  • SoC performance model development
  • Performance correlation
  • Processor instruction set architecture
  • System software components
  • Linux
  • Drivers
  • Runtime
  • Chip design

Location

  • US

Work Type

  • Full-time

Experience Level

  • 10 years of experience
  • 12 years of experience

Education Level

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • PhD degree in Electrical Engineering, Computer Engineering, or Computer Science, emphasizing on computer architecture or machine learning.

Salary/Compensations

  • US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Benefits

  • 20% bonus target
  • equity
  • benefits

About the Company

  • 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.

Equal Opportunity

  • Individual pay is determined by factors including job-related skills, experience, and relevant education or training.