Senior Platform System Architect, Silicon
New Taipei, Banqiao District, New Taipei City, Taiwan
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 Computer Science, Electrical Engineering, Computer Engineering, or equivalent practical experience.
- Experience driving system architecture decisions.
- Experience with power and performance modeling and projection.
- Experience with Android Architecture, Mobile SoC architecture, ML architecture, Computer Architecture, PPA trade-offs.
- Knowledge of interactions between software and different IP blocks, and general and special purpose compute units.
- Ability to work across SoC architecture.
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.
Responsibilities
- Influence Tensor SoC architecture decisions for optimal PPA working cross-functionally with architects, software, and research teams.
- Conduct use cases power and performance profiling through measurements, simulation, or modeling.
- Provide data analysis to identify the inefficiencies across software and hardware design on hardware platforms.
- Propose and architect system design solutions through software and hardware co-design that meet power, performance, and area goals.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data analysis Engineering Machine Learning PhD Research
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