Metrology Process Engineer – Technology Development
$89,000–$182,000 year
On-siteAlbany, New York, United States
Job Summary
Develop and integrate metrology processes for advanced memory technologies, performing material evaluations, reticle and layout development, OPC, overlay optimization, and process window analysis. Drive yield improvement, failure analysis, and device performance optimization by partnering with equipment vendors to evaluate tools and improve process capability. Document processes, communicate results, and support technology transfer to manufacturing while collaborating with global partners to move innovations from R&D into high-volume manufacturing. This full-time role at the NYCreates site in Albany, New York supports the design and deployment of AI-enabled solutions that improve efficiency and decision-making within Micron's Technology Development organization.
Required Qualifications
- M.S. or Ph.D. in Electrical or Electronics Engineering, Materials Science, Physics, Chemistry, Chemical Engineering, Computer Engineering, or other Engineering or Technical Degree relevant to Metrology
- B.S. with 2+ years semiconductor processing experience with emphasis on metrology
- Experience or working knowledge in metrology or semiconductor process development
- Working knowledge of process characterization, data analysis, and statistical methods
- Ability to collaborate across cross-functional technical teams
- This role is full time at the NYCreates site in Albany, New York
Desired Qualifications
- B.S. with 2+ years semiconductor processing experience with emphasis on metrology will also be considered
- Experience with metrology techniques that include methods of critical dimension measurement, registration measurement and films characterization
- Experience working with semiconductor equipment vendors or R&D environments
- Experience providing and/or analyzing metrology solutions specific to EUV photolithography challenges
- Proficiency in scripting (Python/JMP/SQL) for data analysis and automation
- Experience using LLM or AI productivity tools
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