Micron
Director, Materials Development & Pathfinding
Albany, NY · Director · Full-time · Posted Oct 30, 2026
- Experience
- 15+ years of semiconductor technology development experience.
- Education
- Master's degree or PhD in Materials Science, Chemical Engineering, Physics, Electrical Engineering, Chemistry, or a related technical field, or equivalent experience.
About the job
Leads Albany Nanotech’s materials strategy, teams, and pathfinding programs to develop and integrate materials and processes for future memory and semiconductor technologies.
What you'll do
- Set materials roadmaps and lead research and process development across deposition, diffusion, epitaxy, thermal processing, and materials integration.
- Advance novel materials from exploration through wafer demonstrations and integrated technology demonstrations, working toward technology readiness.
- Build and lead technical teams and partnerships across Micron, suppliers, universities, and research institutions; adopt AI-enabled tools to accelerate discovery and process development.
What they ask for
- Master's degree or PhD in a listed related technical field, or equivalent experience.
- 15+ years of semiconductor technology development experience.
- Deep expertise in one or more listed materials or process areas, and validated experience leading technical organizations and multidisciplinary teams.
- Demonstrated success developing advanced semiconductor process technologies from concept through implementation; strong understanding of process integration and semiconductor materials interactions.
Nice to have
- Experience supporting advanced semiconductor technologies, supplier co-development, or pathfinding and research environments.
- Experience applying AI or machine learning to materials research, process development, or engineering workflows.
Pay
$0.00 - $0.00 a year (USD, base salary)
Tools
Atomic Layer Deposition (ALD), Chemical Vapor Deposition (CVD), Diffusion, Epitaxy, Thermal Processing and Annealing, Selective Deposition Technologies, Thin Films, AI
AI focus
Leads adoption of AI-enabled tools and analytics for materials discovery, process optimization, and engineering decisions; AI or machine learning experience is preferred.
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