Design Verification Engineer, PhD, Early Career

About the role

In this role, you will shape the future of AI/ML hardware acceleration as a Silicon Architect/Design Engineer and drive TPU (Tensor Processing Unit) technology that fuels Google's most demanding AI/ML applications. You will collaborate with hardware and software architects and designers to architect, model, analyze, define and design next-generation TPUs.

What you'll do

• 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…
• Partner with hardware design, software, compiler, Machine Learning (ML) model and research teams for effective hardware/software codesign
• Develop and adopt advanced AI/ML capabilities, drive accelerated and efficient design verification strategies and implementations

What you need

• 2–5 yrs of experience
• C++
• Python
• Verilog
• VLSI
• Machine learning
• PhD or B.Tech or B.E.