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Job Description
- Revolutionize Machine Learning (ML) workload characterization and benchmarking, and propose capabilities and optimizations for next-generation TPUs.
- Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap. Develop architectural and microarchitectural power/performance models, microarchitecture and RTL designs 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 codesign, creating high performance hardware/software interfaces.
- Develop and adopt advanced AI/ML capabilities, drive accelerated and efficient design verification strategies and implementations.
- Use AI techniques for faster and optimal physical design convergence -timing, floor planning, power grid and clock tree design etc. Investigate, validate, and optimize DFT, post-silicon test, and debug strategies, contributing to the advancement of silicon bring-up and qualification processes.