Silicon Validation Product Engineer - AI/ML Hardware

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

Job summary

Google is seeking a senior silicon verification engineer to shape the future of AI/ML hardware acceleration with Tensor Processing Unit (TPU) architecture integration. You will verify complex digital designs and lead post-silicon bring-up across power, memory, and compute features on TPU systems.

In this role, you will collaborate with cross-functional teams, drive test content, and provide field-ready solutions while partnering with silicon vendors and manufacturing teams to ensure quality and

Qualifications

• Bachelor's degree or equivalent practical experience in EE/CE/CS or related field
• 4 years of experience with silicon or semiconductors (e.g., digital design, silicon validation, computer architecture, product engineering)
• Experience scripting in one or more programming languages (e.g., Python)

Responsibilities

• Own sustaining phases of the silicon development lifecycle. Monitor, debug, and deploy corrective actions for quality and reliability issues in manufacturing, deployment, and serving.
• Optimize test performance across manufacturing and deployment. Partner with cross-functional teams to improve test coverage and reduce overall test time.
• Drive triage, debugging, and corrective actions across all deployment stages. Support rapid resolution in early NPI to reduce test failures and escapes, driving process improvements as necessary.
• Collaborate with supply chain, contract manufacturing, and vendors to implement firmware, software, hardware, or process improvements.
• Investigate, reproduce, and root-cause field failures to drive resolution, focusing primarily on functional operations alongside DFT/DFD structural testing.

Skills

Silicon/semiconductor experience

Python scripting

Education

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

Job description

Google is seeking a senior silicon verification engineer to shape the future of AI/ML hardware acceleration with Tensor Processing Unit (TPU) architecture integration. You will verify complex digital designs and lead post-silicon bring-up across power, memory, and compute features on TPU systems.

In this role, you will collaborate with cross-functional teams, drive test content, and provide field-ready solutions while partnering with silicon vendors and manufacturing teams to ensure quality and