NAND Dry Etch Tech Lead & AI Innovation

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 350,000 - 520,000; Full time

Job summary

Micron Technology, Inc. is seeking a highly experienced DMTS to define, develop, and transfer advanced NAND dry etch processes. You will shape equipment and process roadmaps, benchmark against industry standards, and address the most complex yield and integration challenges.

The role requires deep domain expertise, external engagement, mentorship of senior technical leaders, and enterprise-level influence. AI-enabled improvements are encouraged across the TD ecosystem.

Qualifications

• PhD or Master’s with extensive senior R&D experience in dry etch.
• Evidence of external/industry recognition and ability to represent the organization technically.
• Innovation leadership: patents, publications, or invited talks.

Responsibilities

• Act as technical expert for dry etch process, hardware, and applications in NAND technology development.
• Define the equipment roadmap and drive mechanism-focused hardware roadmaps with suppliers.
• Benchmark dry etch capability against industry standards and translate findings into internal advantage.
• Resolve complex NAND yield/defectivity/integration issues using deep plasma physics, surface interactions, and materials knowledge.
• Represent Micron’s NAND dry etch interests in cross-site and external forums; influence cross-disciplinary teams.
• Champion AI-based solutions through the TD ecosystem.

Skills

Deep plasma physics

Etch chemistry

SPC/analysis

Equipment roadmaps

Supplier co-development

Executive communication

Education

PhD ≥15 years in Electrical Engineering / Materials Science / Chemical Engineering / Physics

Master’s ≥17 years in relevant field

Job description

Micron Technology, Inc. is seeking a highly experienced DMTS to define, develop, and transfer advanced NAND dry etch processes. You will shape equipment and process roadmaps, benchmark against industry standards, and address the most complex yield and integration challenges.

The role requires deep domain expertise, external engagement, mentorship of senior technical leaders, and enterprise-level influence. AI-enabled improvements are encouraged across the TD ecosystem.