SOC Quality and Reliability Engineer – AI/ML Hardware

About the role

Google Cloud is looking for a SOC Quality and Reliability Engineer to shape the future of AI/ML hardware acceleration. You will drive quality and reliability for Tensor Processing Unit (TPU) silicon that powers Google’s most demanding AI/ML workloads.

Key responsibilities

• Lead the product reliability life‑cycle from post‑tapeout through high‑volume manufacturing.
• Develop and enforce quality and reliability specifications, design guidelines, and test plans for custom silicon.
• Collaborate with cross‑functional teams (hardware quality, silicon design, validation, and engineering) to improve yield and field performance.
• Perform electrical and physical failure analysis, and implement design‑for‑reliability (DfR) rules.
• Analyze statistical data using tools such as JMP and Python to identify reliability trends.

Required profile

• Bachelor’s degree in Electrical Engineering, Materials Science, Physics, or related field (or equivalent experience).
• At least 4 years of experience in IC silicon quality or reliability.
• Hands‑on experience with CMOS technology, device physics, and failure mechanisms.
• Proven track record leading reliability programs for silicon process nodes and advanced packaging.

Required skills

• Integrated Circuit (IC) flows, wafer processing, testing, qualification, yield analysis.
• Statistical data analysis using JMP, Python, or JMP Scripting Language (JSL).
• Electrical Failure Analysis (EFA) and Physical Failure Analysis (PFA) techniques.
• Design‑for‑Reliability (DfR) rules and implementation.
• Experience with silicon reliability on advanced nodes and packaging technologies.