AI/ML System Performance Architect, Silicon Full-time

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience working with Mobile/Embedded SoCs at use cases level power and performance analysis.

Preferred qualifications:

• Master’s degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience with python or other scripting-based languages.
• Experience driving system architecture decisions.
• Experience with Android Architecture, Mobile SoC architecture, ML architecture, Computer Architecture, PPA trade-offs.
• Experience in power and performance modeling and projection.
• Knowledge of interactions between software and different IP blocks, general and special purpose compute units.

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 $150,000-$223,000 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 benefits at Google .

Responsibilities

• Influence Tensor SoC architecture decisions for optimal Power, Performance, and Area (PPA) working cross-functionally with architects, software, and research teams.
• Conduct use cases power and performance profiling through objective measurements, simulation, or modeling.
• Provide data analysis/report/projection to identify the inefficiencies across Software/Hardware design on existing and future Hardware platforms.
• Propose and architect system design solutions through Software/Hardware co-design that meet power, performance, and area goals to deliver advanced use cases experience powered by Google’s AI research.