Senior CPU Microarchitecture Lead

10 Months ago • 10 Years + • $221,000 PA - $314,000 PA

Data Analysis

Job Description

As a Senior CPU Microarchitecture Lead at Google, you'll be part of a team pushing boundaries and 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. You'll lead microarchitecture exploration, work with the performance team to define analysis tasks, collaborate with design teams on PPA tradeoffs, communicate ideas and results, guide junior micro-architects, and define CPU microarchitecture that aligns with Google's CPU business goals.

Good To Have:

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 with ARM architecture including all its extensions such as SME.
Experience in Android system software components, AI/ML.

Must Have:

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

Add these skills to join the top 1% applicants for this job

innovation

performance-analysis

Minimum qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
10 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 with ARM architecture including all its extensions such as SME.
Experience in Android system software components, AI/ML.

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 will 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 $221,000-$314,000 + 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

Lead 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/PPA results in both qualitative and quantitative fashion to support the decisions.
Guide junior micro-architects to develop and assess innovative CPU microarchitecture ideas.