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Senior/Principal Engineer, FE OCT CPEE PHOTO METROLOGY
- 給与
- 記載なし
- 勤務地
- 記載なし
- 休日
- 記載なし
- 雇用形態
- 記載なし
どんな仕事かAIによる生成
Lead photo/overlay metrology improvement initiatives for HVM and resolve complex metrology issues through data-driven root-cause analysis. Define and deploy Best Known Methods across fabs, support cross-fab alignment and customer concerns, and collaborate with internal teams and suppliers.
この求人に応募
応募資格
必須
- BS/MS/PhD in Electrical Engineering, Physics, Materials Science, Chemical Engineering, or related field
- 5+ years (Senior) or 8+ years (Principal) experience in semiconductor photolithography in NPI/HVM manufacturing
- Strong hands-on experience in photo/overlay metrology engineering (yield, quality, productivity, cost improvement)
- Proven experience in solving challenges involving overlay, CDU, metrology, reticle correction, MMM, destack, and yield matching
- Experience defining and deploying Best Known Methods (BKM) across tools, nodes, or fabs
- Ability to act as a technical point of contact for blocking issues and lead problem solving involving multiple functions
- Strong data-driven approach and communication skills; comfortable working with global teams and suppliers; flexibility to business travel and overseas assignment
募集要項最終確認 10/21
- 職種
- 生産技術
- 雇用形態
- 記載なし
- 役職
- Senior/Principal Engineer
- 給与
- 記載なし
- 勤務地
- 記載なし
- 働き方
- 記載なし
- 学歴
- 大学院修了以上
- 掲載日
- 2026/10/12 05:19（10日前）
- 最終確認
- 2026/10/21 22:16（1日前）
仕事内容
募集内容
- Lead HVM photo/overlay metrology yield, quality, productivity, and cost improvement initiatives
- Resolve complex photo/overlay metrology issues through data‑driven root‑cause analysis
- Define and deploy photo/overlay metrology Best Known Methods (BKM) across fabs for HVM and NPI
- Act as the technical point for cross-fab, complex photo/overlay metrology customer concerns
- Drive MOR-POR gap closure and cross‑fab/node alignment in collaboration with internal teams and suppliers
- Influence key suppliers and represent OCT in reviews, workshops, and governance forums
- Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
- Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one's scope of work.
- Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business
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