Low Power Design Methodology and Optimization Engineer at Google | Austin, TX, US | Rezi

Low Power Design Methodology and Optimization Engineer at Google

Low Power Design Methodology and Optimization Engineer

Google · Austin, TX, US

4 days ago

Low Power Design Methodology and Optimization Engineer

Google · Austin, TX, US

4 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. 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.

Responsibilities

  • Develop and implement advanced low power design methodologies for CPU architectures.
  • Perform detailed power analysis, estimation, and optimization across various design stages.
  • Collaborate with RTL design, verification, and physical design teams to integrate power-saving features.
  • Drive the adoption of innovative power reduction techniques and tools.
  • Contribute to the definition and validation of power management specifications.

Requirements

  • 10 years of experience in CPU low power design and optimization.
  • Experience with low-power design (e.g., dynamic and leakage, power estimation, and optimization), data analytics, and profiling.
  • Experience in flow automation (Python, C, C++).

Skills

  • Low power design
  • Data analytics
  • Profiling
  • Flow automation
  • Python
  • C
  • C++
  • RTL design
  • Power management
  • DVFS
  • CPU benchmarking
  • Performance analysis
  • PTPX
  • Ansys Power Artist
  • Synopsys Prime Power RTL
  • CPU microarchitecture

Experience Level

  • 10 years of experience

Education Level

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.

Salary/Compensations

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

Benefits

  • Benefits at Google

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.