Silicon Senior RTL Engineer, Google Cloud
Technology, Data & Digital · Software & Web Development · Software Engineering · Embedded Systems · Data Science
In short
As a Silicon Senior RTL Engineer at Google Cloud, you will design and implement cutting-edge TPU technology powering AI/ML applications. You will own microarchitecture, RTL implementation, and quality checks for complex IPs and subsystems, contributing to synthesis, timing closure, and silicon bring-up.
Responsibilities
- Own microarchitecture and implementation of complex IPs and subsystems.
- Take ownership of RTL implementation and quality checks of one or more modules.
- Contribute to design methodology, libraries, debug, and code review in coordination with other IPs Design Verification (DV) teams and physical design teams.
- Identify and drive Power, Performance and Area (PPA) improvements for the modules owned.
- Participate in synthesis, timing/power closure, and FPGA/silicon bring-up.
Requirements
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience in Application-Specific Integrated Circuit/System on a chip (ASIC/SoC) development with Verilog/SystemVerilog.
- Experience in micro-architecture and design of IPs and subsystems.
- Experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT).
Desired Qualifications
- Experience with programming languages (e.g., Python, C/C++ or Perl).
- Experience in SoC designs and integration flows.
- Knowledge of arithmetic units, processor design, accelerators, bus architectures, fabrics/NoC or memory hierarchies.
- Knowledge of high performance and low power design techniques.
Benefits
- Opportunity to drive cutting-edge TPU technology.
- Be part of a team that pushes boundaries and develops custom silicon solutions.
- Contribute to the innovation behind products loved by millions worldwide.
- Leverage design and verification expertise to verify complex digital designs.
- Solve technical problems with innovative and practical logic solutions.
- Evaluate design options with complexity, performance, power, and area in mind.
- Collaborate with architecture, verification, power and performance, and physical design teams.
- Work on next generation data center accelerators.
- Opportunity to shape the future of AI/ML hardware acceleration.
#AI/ML#TPU#SoC#RTL#ASIC#Google Cloud