PhD Silicon Engineer - AI Accelerator Design

Google; Sunnyvale (CA); On-site; USD 138,000 - 197,000; Full time

Job summary

Google is seeking PhD graduates for an in-person interview role in Sunnyvale, CA, focusing on shaping AI/ML hardware acceleration. You’ll contribute to TPU architecture and integration within AI-driven systems, collaborating with cross-functional teams to advance Google's custom silicon portfolio.

You will work on complex digital designs, verification, and CAD/EDA tooling, with opportunities to impact Google Cloud infrastructure and industry-leading TPU technology.

Qualifications

• PhD degree in Electrical Engineering, Computer Engineering, Computer Science or related field or equivalent practical experience.
• Experience in at least one silicon engineering domain (architecture/RTL, verification, physical design, CAD, etc.).
• Experience with hardware description languages (Verilog/SystemVerilog) or programming (Python, Tcl, Perl, C++).

Responsibilities

• Collaborate across hardware and software teams to research, design, and model custom silicon solutions and AI accelerators.
• Develop, simulate, and verify architectural features and interfaces for performance/power/area optimization.
• Contribute to EDA design automation flows and post-silicon bring-up and characterization.

Skills

Python

C++

Verilog/SystemVerilog

Tcl/Perl

Education

PhD in EE/CE/CS or related field

Tools

Synopsys Cadence EDA tools

Siemens EDA tools

Job description

Google is seeking PhD graduates for an in-person interview role in Sunnyvale, CA, focusing on shaping AI/ML hardware acceleration. You’ll contribute to TPU architecture and integration within AI-driven systems, collaborating with cross-functional teams to advance Google's custom silicon portfolio.

You will work on complex digital designs, verification, and CAD/EDA tooling, with opportunities to impact Google Cloud infrastructure and industry-leading TPU technology.