Senior Platform System Architect, Silicon

Google

3.8

(162)

Taiwan

Why you should apply for a job to Google:

Ranked as one of the Best Tech Companies for Women in 2019

56% say women are treated fairly and equally to men

77% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members.

Generous parental and caregiver leave along with fertility and growing family support.

Flexible work options that include a hybrid work model, four “work from anywhere” weeks, and remote work opportunities.

A chance to be a part of a variety of employee resource groups, community groups, and culture clubs.

#83962000027067078

Position summary

d translate ideas into architecture specifications.

Knowledge of interactions between software and hardware IP blocks, general and special purpose compute units.
Knowledge of Android Architecture, Mobile SoC architecture, ML architecture, Computer Architecture, PPA trade-offs.

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 Power Performance Area (PPA) working cross-functionally with Software/Hardware architects, design teams, and research teams to enable the industrial best user experience on Pixel phone devices empowered by the advanced Generative AI technologies provided by Google Deepmind research.
Leverage a data driven approach through on goal profiling, simulation and modeling, drive consensus around complex architectural decisions across the entire silicon organization to solve challenging system design problems under ambiguous requirements.
Be the primary owner of the architecture specifications, system design documentation, workload analysis, modeling and projection to influence and define future SoC architecture.