Padmi
Google logo
Google

Search and advertising · Cloud infrastructure and AI

Tensor SOC Performance Design Verification Engineer

Bangalore · OnsitePosted 1 month ago
Electrical Electronics And Computer Hardware EngineeringMid-level
Apply at Google

Opens the source posting on google.com

Source description

About the role

View original

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.

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. Responsibilities

Develop simulators and architectural models of Google's Tensor SOC.

Collaborate with system architects, SoC and CPU/GPU/TPU architects/designers, and software and application experts to understand current and future requirements.

Participate in architectural and design evaluation of Tensor SOC features studies.

Perform pre-silicon performance simulation and correlate with pre and post-silicon measurements.

Communicate analysis results qualitatively and quantitatively.

Qualifications

  • Minimum qualifications:

  • Master's degree in Electrical Engineering, Physics, Computer Engineering, Materials Science or related field or equivalent practical experience.

  • 4 years of experience in the SOC design/verification.

  • Experience verifying digital logic at the Register Transfer Level (RTL) using SystemVerilog at Subsystem or Full chip level.

  • Experience in mobile SOC performance model development, performance analysis, and workload characterization.

Preferred qualifications

  • Experience in CPU microarchitecture innovation.

  • Knowledge of system software components, such as Linux, drivers, and runtime.

  • Knowledge of performance analysis tools.

  • Knowledge of CPU, GPU benchmark characterization.

One address, no account. We’ll tell you when matching roles go live.

More at Google

Related open roles

View all roles