SoC Test Infrastructure Engineer - TPU & HPC (NPI/ATE)

Google; Sunnyvale (CA); On-site; USD 138,000 - 198,000; Full time

Job summary

Google Sunnyvale is seeking an SoC Test Infrastructure Engineer to shape AI/ML hardware acceleration through post‑silicon test strategies and automated ATE development. You will drive NPI test programs for TPU and HPC products, partnering with architecture, design, and manufacturing teams.

The role emphasizes pre‑silicon validation, test content development, and end‑to‑end test lifecycle automation, with a focus on scalable silicon testing for AI workloads.

Qualifications

• Bachelor's degree in Electrical/Computer Engineering, Computer Science, or related field, or equivalent practical experience.
• 4 years of experience in test engineering.
• Experience in Python, Java, C# or C/C++.
• Experience with Advantest or Teradyne platforms.

Responsibilities

• Collaborate with Architecture, Design, and Verification teams to develop product bring‑up and validation strategies for HPC products.
• Verify test solutions on pre‑silicon models and develop ATE test modules, DC tests, binning, production flows.
• Develop and validate test programs on ATE platforms for NPI in preparation for HVM with vendors and cross‑functional teams.
• Develop tools and methodologies to automate the testing lifecycle.
• Influence and work with partners to enable automated test problem solutions.

Skills

Python

Java

C/C++

Test engineering

Advantest/Teradyne

Education

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

Job description

Google Sunnyvale is seeking an SoC Test Infrastructure Engineer to shape AI/ML hardware acceleration through post‑silicon test strategies and automated ATE development. You will drive NPI test programs for TPU and HPC products, partnering with architecture, design, and manufacturing teams.

The role emphasizes pre‑silicon validation, test content development, and end‑to‑end test lifecycle automation, with a focus on scalable silicon testing for AI workloads.