Job Description

Minimum qualifications:

  • PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience.
  • Experience in programming languages (e.g., C++, Python, Verilog), Synopsys, Cadence tools.
  • Experience with accelerator architectures and data center workloads.

Preferred qualifications:

  • 2 years of experience in Silicon engineering post PhD.
  • Experience with performance modeling tools.
  • Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies.
  • Knowledge of high-performance and low-power design techniques.

About The Job

In this role, you will shape the future of AI/ML hardware acceleration as a Silicon Architect/Design Engineer and drive Tensor Processing Unit (TPU) technology that fuels Google's most dema...

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