Senior Product Quality Engineer – Semiconductors

Power Integrations; San Jose (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

A leading semiconductor manufacturer in San Jose is seeking a Product Quality Engineer to ensure product quality performance and customer satisfaction. This role involves leading investigations, driving root-cause analysis, and collaborating across teams to enhance quality. Ideal candidates possess a Bachelor's degree in electrical engineering or Materials Science, with at least 12 years of relevant experience in semiconductor quality and strong data analysis skills. The position offers the opportunity to influence product quality through data-driven decision-making.

Qualifications

• Minimum 12 years' experience in semiconductor quality, product engineering, reliability, or manufacturing.
• Strong understanding of wafer fabrication, assembly/test processes, and reliability mechanisms.
• Ability to explain complex technical issues to diverse audiences.

Responsibilities

• Lead customer complaint investigations using structured problem-solving methods.
• Coordinate teams to identify root causes and implement corrective actions.
• Prepare and deliver customer-facing quality reports and presentations.

Skills

Data analysis tools (JMP, Python, MATLAB, Excel)

Communication skills

Understanding of semiconductor devices

Problem-solving methods (8D, 5 Whys, Ishikawa)

Education

Bachelor's degree in electrical engineering or Materials Science

Tools

Statistical methods (SPC, DOE)

Job description

A leading semiconductor manufacturer in San Jose is seeking a Product Quality Engineer to ensure product quality performance and customer satisfaction. This role involves leading investigations, driving root-cause analysis, and collaborating across teams to enhance quality. Ideal candidates possess a Bachelor's degree in electrical engineering or Materials Science, with at least 12 years of relevant experience in semiconductor quality and strong data analysis skills. The position offers the opportunity to influence product quality through data-driven decision-making.