Dry/Plasma Etch GaN Process Development Engineer (SM1)

Change the world. Love your job. We are seeking a highly motivated Advanced GaN Process Development Engineer to join our Plasma Etch Process Development team. This role is responsible for developing, optimizing, and transferring advanced plasma etch processes supporting next-generation GaN semiconductor technologies. The engineer will work closely with integration, equipment, metrology, and manufacturing teams to drive technology innovation, improve process capability, and enable successful product ramp into high-volume manufacturing.

The ideal candidate possesses strong technical expertise in plasma etch fundamentals, semiconductor process development, statistical data analysis, and cross-functional problem solving.

The responsibilities of a Manufacturing Development Process Engineer in this role include:

Process Development

Develop and optimize plasma etch processes for advanced semiconductor devices. Design and execute experiments (DOE) to improve critical process metrics, including:

Etch rate Selectivity Critical dimension (CD) control Profile control Defectivity Uniformity

Characterize process performance and establish process windows for manufacturing robustness. Evaluate new process chemistries, hardware configurations, and chamber technologies.

Technology Introduction

Support development and qualification of next-generation etch technologies. Collaborate with device integration teams to meet product and technology requirements. Drive process readiness for technology transfers from development into manufacturing. Establish process specifications, control plans, and release documentation.

Tool and Equipment Engineering

Partner with equipment engineering teams to improve tool capability, productivity, and reliability. Lead chamber matching, equipment qualification, and process performance improvement activities. Support installation and startup of new etch platforms.

Data Analysis & Continuous Improvement

Analyze complex process datasets using statistical methods and data analytics tools. Identify root causes of process excursions and implement corrective actions. Lead yield improvement and defect reduction initiatives. Utilize SPC methodologies to monitor and improve process stability.

Cross-Functional Collaboration

Process Integration Manufacturing Yield Engineering Metrology Equipment Engineering Quality and Reliability teams

Present technical findings and recommendations to management and key stakeholders. Mentor junior engineers and technicians as needed.