Staff Silicon System Architect
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Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience working in ambient computing, audio processing, machine learning, image processing, or computer architecture.
Preferred qualifications:
- Master’s Degree or PhD in Computer Science, Electrical Engineering, or Computer Engineering, or equivalent practical experience.
- 10 years of experience in ambient computing, audio processing, sensors processing, Machine learning, wireless connectivity on Mobile/Embedded SoCs.
- Experience driving system architecture decisions.
- Experience with Android Architecture, Mobile SoC architecture, ML architecture, Computer Architecture, PPA trade-offs.
- Experience driving system architecture decisions across Software/Hardware teams within a large organization to build up the consensus and translate ideas into architecture specifications.
- Knowledge of interactions between software and different IP blocks, general and special purpose compute units.
About the job
Be part of a 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.
In this role, as part of the Silicon System Architecture team, you will leverage your expertise in computing architecture, Performance, Power, Area (PPA) tradeoffs, SoC audio/speech/ambient workloads analysis, ability to traverse across the stack to influence IP and SoC architecture for the Tensor SoC. You will be responsible for proposing and designing the architecture specification for innovative solutions, working with design and software implementation teams to ensure successful realization of the outlook. You will play a critical role in the entire lifecycle of technology development – from initial research and proof-of-concept to product implementation.
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.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 ambient architecture decisions for optimal PPA working cross-functionally with architects, software, and research teams.
- Leverage a data-driven approach, employing on-goal profiling, simulation, and modeling of ambient compute workloads to build consensus and guide architectural decisions across the silicon organization, solving challenging system design problems under ambiguous requirements.
- Architect system solutions that meet power, performance, and area goals to deliver advanced use cases experience powered by Google’s AI research.
- Lead proposed solutions through the entire development lifecycle, guiding their evolution from concept to a Hardware/Software optimized system solution deployed within the SoC.
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