Silicon Validation Engineer for AI/ML Hardware (TPU)

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

Job summary

Google, Sunnyvale, is hiring to shape the future of AI/ML hardware acceleration with custom silicon solutions for TPU architecture and AI-driven systems. You will verify complex digital designs and contribute from concept through production, supporting integration with AI workloads.

You will assist in bringing custom ASICs from concept to production, privileging power, memory, compute features, and system performance across pre- and post-silicon phases, collaborating across architecture, design,

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, or equivalent practical experience.
• 3 years of experience with silicon design or with semiconductors (e.g., digital design, silicon validation, computer architecture).
• Experience scripting in a programming language like Python or equivalent.

Responsibilities

• Own the bringup and New Product Introduction (NPI) phases of the silicon development lifecycle.
• Integrate and validate complex hardware/software designs in pre-silicon through functional bringup.
• Develop detailed test plans, based on design specifications and coordinate with cross-functional teams.
• Perform long-term system characterization and debug to improve features like power management and reliability.
• Design, develop, operate, and maintain software-based validation tests.

Skills

Silicon design experience

Python scripting

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, or equivalent practical experience

Tools

Firmware development

Embedded software

Functional tests for silicon validation

Silicon validation bring-up

High-speed interfaces

Memory systems (HBM)

Power system features

Job description

Google, Sunnyvale, is hiring to shape the future of AI/ML hardware acceleration with custom silicon solutions for TPU architecture and AI-driven systems. You will verify complex digital designs and contribute from concept through production, supporting integration with AI workloads.

You will assist in bringing custom ASICs from concept to production, privileging power, memory, compute features, and system performance across pre- and post-silicon phases, collaborating across architecture, design,