Principal Engineer / MTS – NAND Process Pathfinding - Thin Films

Micron Technology, Inc; Singapore; On-site; SGD 230,000 - 280,000; Full time

Job summary

Micron Technology, Inc in Singapore seeks a Principal Engineer / MTS – Thin Films to spearhead next‑generation thin‑film fabrication methods for the NAND process pathfinding team. You will advance deposition strategies and mentor engineers while collaborating with device engineering, process integration, and yield teams to drive performance, reliability, and manufacturability.

You will also apply AI and data analytics to accelerate R&D, improve decision‑making, and enhance knowledge management

Qualifications

• Hands-on expertise across CVD, LPCVD, PECVD, ALD, PEALD, and MOCVD processes.
• Deep understanding of thin-film reactors and material properties and their influence on device performance.
• Strong foundation in plasma physics, transport phenomena, or surface chemistry.
• Proven track record in developing new thin-film materials and deposition methods from concept to integration.
• Experience leading technical programs and engaging with equipment and material vendors.

Responsibilities

• Advance thin‑film process development to meet demanding structural, electrical, and reliability targets across the NAND roadmap.
• Lead the creation of thin films for next‑generation NAND cells, including dielectric, conductive, interface, and charge‑storage layers.
• Explore new materials, precursor chemistries, and deposition techniques to unlock future scaling and architectural breakthroughs.
• Partner with Device Eng., Process Integration, and Yield teams to improve cell performance, reliability, and manufacturability.
• Lead technical task forces and mentor engineers, resolving complex issues while establishing best‑practice guidelines.
• Leverage AI‑enabled tools, analytics, and digital workflows to accelerate process development and knowledge management.

Skills

CVD/PECVD/MOCVD

Thin-film tech

Plasma physics

Deposition methods

Leadership

Vendor management

AI analytics

Education

PhD/MS with 7–10+ years

Job description

As a Principal Engineer / Member of Technical Staff (MTS) – Thin Films, you'll spearhead groundbreaking initiatives for the Advanced NAND Process Pathfinding Team. Your mission is to design and implement next‑generation thin‑film fabrication methods that keep Micron ahead of the global competition.

Responsibilities

• Advance thin‑film process development to meet demanding structural, electrical, and reliability targets across the NAND roadmap.
• Lead the creation of thin films for next‑generation NAND cells, including dielectric, conductive, interface, and charge‑storage layers.
• Explore new materials, precursor chemistries, and deposition techniques to unlock future scaling and architectural breakthroughs.
• Partner across fields—collaborating closely with Device Engineering, Process Integration, and Yield teams—to improve cell performance, reliability, and manufacturability.
• Lead technical task forces and mentor engineers, resolving complex structural and integration issues while establishing best‑practice guidelines for the broader team.
• Leverage AI‑enabled engineering tools, advanced analytics, and digital workflows to accelerate process development, improve decision‑making, enhance knowledge management, and increase R&D productivity across thin‑film technology initiatives.

Minimum Qualifications

• Hands‑on expertise across CVD, LPCVD, PECVD, ALD, PEALD, and MOCVD processes.
• Deep understanding of thin‑film reactors, material properties, and their influence on device performance and reliability.
• Strong foundation in plasma physics, transport phenomena, or surface chemistry.
• Demonstrated success in developing new thin‑film materials and deposition methods from concept to integration.
• Proven leadership in driving technical programs and engaging effectively with equipment and materials vendors.

Preferred Qualifications

• PhD/MS with 7–10+ years of relevant experience in thin‑films or semiconductor process development.
• Proficiency in statistical process control (SPC) and advanced data analysis techniques.
• Sharp problem‑solving instincts with the ability to get results independently.
• Excellent communication and presentation skills—able to influence at every level.
• Experience mentoring engineers and leading high‑performing technical teams.
• Experience applying AI, generative AI, or advanced data science techniques to semiconductor process development, materials research, process optimization, or engineering automation.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.