Senior Wet-Process Development Engineer – Memory Tech

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

1100 Micron SemiAsiaOP Pte Ltd is looking for a senior technical contributor specializing in wet process development based in Singapore. The successful applicant will drive experimental initiatives and support technology roadmaps, contributing to silicon-based solutions for future memory needs.

The ideal candidate should possess a PhD with 8+ years of experience (or equivalent), have a solid grasp of various process technologies, and be adept in cross-functional collaboration.

Opportunity to mentor early-career staff and integrate AI tools into processes.

Qualifications

• PhD with a minimum of 8 years of relevant experience or Master's with 11 years or Bachelor's with 13 years.
• Deep understanding of vapor etch, wet strip, dry strip, and selective chemical etching.
• Experience fixing process issues and supporting transfer R&D to manufacturing.

Responsibilities

• Lead project-level initiatives focused on the development of wet processes.
• Conduct complex experiments under senior staff guidance.
• Contribute to technical documentation and knowledge management.

Skills

Vapor etch

Wet strip

Dry strip

Selective chemical etching

Cross-functional collaboration

Concise communication

Education

PhD in Electrical Engineering, Materials Science, Chemical Engineering, Physics or related field

Tools

CD-SEM

Thickness measurement tools

Particle counters

Job description

1100 Micron SemiAsiaOP Pte Ltd is looking for a senior technical contributor specializing in wet process development based in Singapore. The successful applicant will drive experimental initiatives and support technology roadmaps, contributing to silicon-based solutions for future memory needs.

The ideal candidate should possess a PhD with 8+ years of experience (or equivalent), have a solid grasp of various process technologies, and be adept in cross-functional collaboration.

Opportunity to mentor early-career staff and integrate AI tools into processes.