TPU Compute RTL Design Engineer
GoogleJob Title
TPU Compute RTL Design Engineer
Role Summary
Join Google's ASIC/TPU compute team in Sunnyvale to design the compute subsystem for data-center accelerators. The role focuses on microarchitecture, RTL implementation, SoC integration, verification, and collaboration with physical design and software teams to deliver high-performance, power- and area-efficient silicon.
Experience Level
Senior — requires 8+ years of experience in digital design and SystemVerilog RTL development.
Responsibilities
Primary responsibilities include:
- Create and review microarchitecture specifications for the compute subsystem.
- Define and document integration requirements between the compute subsystem and the SoC.
- Develop production-quality SystemVerilog RTL following coding and quality guidelines.
- Collaborate with validation teams to produce test plans and debug RTL.
- Work with physical design teams to meet physical constraints and achieve timing closure.
- Optimize designs for power, performance, and area.
Requirements
Must-have:
- 8+ years of digital design experience using SystemVerilog RTL.
- Proven experience implementing RTL for ASIC products and following coding/quality standards.
- Experience with power, performance, and area (PPA) optimization practices.
- Ability to define SoC integration and collaborate with architecture, software, validation, and physical design teams.
- Experience creating verification test plans and debugging RTL behavior.
- Familiarity with timing closure and physical implementation constraints.
Nice-to-have:
- Knowledge of processor design, accelerators, or memory hierarchy design.
Education Requirements
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
About the Company
Company: Google
Headquarters: Mountain View, CA, United States
Google is a global technology company that develops Internet services and products including search, advertising, cloud computing, AI, software, hardware, and custom silicon for consumer and enterprise applications.
