Photonic PIC Process Integration Engineer

Nokia; San Jose (CA); On-site; USD 100,000 - 170,000; Full time

Job summary

Nokia in San Jose, CA seeks a Process Integration Engineer to ensure high quality InP-based PIC products through experiments and data analysis, helping bring up a new high-volume fab. You will collaborate with cross-functional teams to troubleshoot wafer fabrication, improve yield reliability, and drive process stability, with emphasis on detecting root causes and implementing robust solutions.

A background in semiconductor fabrication, strong data skills, and hands-on problem solving are

Qualifications

• At least 2 years of experience in a modern semiconductor fab with focus on quality.
• Understanding of semiconductor processes and device physics.
• Understanding of SPC methods and data analysis.

Responsibilities

• Troubleshoot performance and yield issues in the wafer fab.
• Investigate lots on hold and provide support for failure analysis.
• Use MES to collect data, perform basic data analysis and generate reports.
• Review SPC charts and respond to out-of-control events.
• Coordinate movement of qual and development lots through fab, assembly and test areas.
• Manage quality and yield of PIC wafers based on fab knowledge.
• Troubleshoot and resolve process deviations and test failures.
• Establish inline FAB process specifications and support stability improvements.
• Support operations to improve throughput and cycle time.
• Support next-generation PIC platform development and ramp activities.

Skills

Semiconductor fab

Statistical process control

Data analysis

Problem solving

Communication

Education

B.S. or higher in Electrical Eng./Photonics/Materials

Tools

MES software

CD-SEM

Job description

Nokia in San Jose, CA seeks a Process Integration Engineer to ensure high quality InP-based PIC products through experiments and data analysis, helping bring up a new high-volume fab. You will collaborate with cross-functional teams to troubleshoot wafer fabrication, improve yield reliability, and drive process stability, with emphasis on detecting root causes and implementing robust solutions.

A background in semiconductor fabrication, strong data skills, and hands-on problem solving are