Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap. Develop architectural and microarchitectural power/performance models, microarchitecture and evaluate quantitative and qualitative performance and power analysis. Partner with hardware design, software, compiler, Machine Learning (ML) model and research teams for effective hardware/software co-design, creating high performance hardware/software interfaces.
Evaluate different silicon solutions for executing Google’s data center Artificial Intelligence (AI) accelerator roadmap, components, vendor co-developments, custom designs and chiplets. Create high performance hardware/software interfaces. Collaborate with software, verification, emulation, physical design, packaging and silicon validation stakeholders to ensure designs are complete, correct and performant. Own microarchitecture of compute blocks and subsystems.
Identify and drive power, performance and area improvements for the modules owned. Develop and contribute to the simulations tools.
Job description provided by Google.
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