Module Process Engineer - Wuxi/Shanghai (English + Korean)

About the role

Applied Materials, a global leader in materials science and engineering solutions for semiconductors and advanced displays, is hiring a Module Process Engineer in Shanghai. The role works closely with customers and field teams to solve customer high-value problems, optimise tool performance and support product introduction projects. Candidates must be fluent in Korean, both verbally and in writing.

Key responsibilities

• Lead and solve customer high-value problems independently or with support, and engage with customers during development, transfer, ramp and high-volume manufacturing to understand the impact of unit process steps on fab KPIs such as yield, output and cost.
• Increase customer success value through defect, variability and COO reduction, and through PM, process Cpk/matching and output optimisation.
• Take part in strategic new application and product introduction projects, and drive continuous improvement projects to improve tool performance.
• Work with field function teams such as FSO and TSE to meet customer success performance KPIs and gross margin objectives.
• Resolve complex tool issues using analytics, equipment and process knowledge and systematic fault-finding methods, and capture lessons learned in the fault-finding knowledge base.
• Support process-related escalations and identify opportunities for customer success renewal, upsell and penetration.
• Demonstrate depth and/or breadth of expertise in DDP/Etch and show willingness to learn across modules.

Required profile

• More than 5 years of experience.
• Fluent Korean, spoken and written.
• Ability to interpret business issues and recommend best practices, and to solve complex problems with a broad perspective.
• Works independently, with guidance only in the most complex situations; may lead functional teams or projects.

Required skills

• Specialised depth and/or breadth of expertise in DDP and Etch.
• Use of analytics and systematic fault-finding methodologies for root cause diagnosis.