Lead CPU Micro Architect

1 Month ago • 8 Years + • Research & Development • $177,000 PA - $266,000 PA

Job Summary

Job Description

Lead CPU Micro Architect at Google involves planning microarchitecture exploration, defining CPU microarchitecture aligning with business goals, collaborating with performance and design teams on PPA (Performance, Power, Area) trade-offs, and communicating results effectively. The role requires expertise in computer architecture concepts, including microarchitecture and CPU design, and experience in performance modeling, analysis, and workload characterization. Responsibilities include leading a team, defining performance analysis tasks, collaborating on PPA trade-off analysis for new features, and communicating findings to support decision-making. This position contributes to the innovation behind Google's hardware, delivering unparalleled performance, efficiency, and integration.
Must have:
  • Bachelor's degree in relevant field
  • 8+ years of experience in computer architecture
  • Experience in microarchitecture and CPU design
  • Performance modeling and analysis expertise
  • Excellent communication and leadership skills
Good to have:
  • Master's or PhD in relevant field
  • Experience in CPU microarchitecture innovation
  • Experience with Android system software components, AI/ML
  • Experience with ARM architecture
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience with computer architecture concepts, including microarchitecture, and CPU design.

Preferred qualifications:

  • Master's degree or Phd in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture, or a related field.
  • Experience in CPU microarchitecture innovation.
  • Experience in performance modeling, performance analysis, and workload characterization.
  • Experience in Android system software components, AI/ML.
  • Experience with Advanced RISC Machine (ARM) architecture including all its extensions such as Subject Matter Expert (SME).

About the job

Be part of a diverse 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.

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.

The US base salary range for this full-time position is $177,000-$266,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Plan microarchitecture exploration team to define CPU microarchitecture that aligns with the Google CPU business goals.
  • Work with the performance team to define performance analysis tasks and priority to evaluate the microarchitecture concepts.
  • Collaborate with design teams in PPA (Performance, Power, Area), tradeoff analysis for new microarchitecture features.
  • Communicate ideas and performance or power, performance, and area (PPA) results in both qualitative and quantitative fashion to support the decisions.

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