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生産技術の求人993件応募資格・募集要項・仕事内容を見る
CPEE PRINCIPLE/SENIOR ENGINEER (DIFF)
- 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
Drive Diffusion process and equipment performance improvements to support manufacturing objectives. Identify and implement opportunities to improve manufacturing availability, utilization, throughput, WPD, and RPT, and lead technical investigations into equipment, process, and yield excursions. Support manufacturing output, capacity planning, bottleneck reduction, technology transfers, and process conversions.
この求人に応募
応募資格
必須
- Bachelor's degree in Engineering, Materials Science, Chemical Engineering, Physics, or related technical discipline.
- Semiconductor manufacturing, process engineering, or equipment engineering experience.
- Strong problem-solving, data analysis, and technical troubleshooting skills.
- Ability to manage multiple priorities and execute projects independently.
- Strong written and verbal communication skills.
- Experience in Diffusion process or equipment engineering.
- Experience with productivity improvement programs, manufacturing optimization, and capacity management.
- Knowledge of statistical analysis, DOE, SPC, and structured problem-solving methodologies.
- Experience working with semiconductor equipment suppliers.
- Proven ability to drive cross-functional technical projects from concept through implementation
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 ENGINEER
- 給与
- 記載なし
- 勤務地
- 記載なし
- 働き方
- 記載なし
- 学歴
- 大学卒業以上
- 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
Technical Excellence
- Drive Diffusion process and equipment performance improvements to support manufacturing objectives.
- Identify and implement opportunities to improve Manufacturing Availability (MA), Utilization, Throughput, WPD, and RPT.
- Lead technical investigations for equipment, process, and yield excursions using structured problem-solving methodologies.
- Develop innovative solutions to improve equipment capability, reliability, and productivity.
- Support Max-Out, Productivity, Everest, WPD, and Cost Reduction initiatives.
- Analyze manufacturing constraints and develop solutions to improve fab output.
- Support capacity planning and bottleneck reduction activities.
- Partner with Manufacturing, PIE, Yield, MAE, and Global Central
- Work with equipment suppliers to develop and deploy hardware, software, and productivity improvements.
- Support technology transfers, process conversions, and new capability implementation.
- Apply data science, machine learning, and statistical techniques to identify manufacturing improvement opportunities and predict equipment or process performance trends.
この求人は、マイクロンメモリジャパン株式会社の採用ページの内容をAIが読み取って整理したものです。応募の前に採用ページの原文を確かめてください。データの集め方企業サイト
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募集元の採用ページから応募できます
応募はマイクロンメモリジャパン株式会社の採用ページで受け付けています。このページは採用ページの掲載内容をもとに構成しているため、最新の応募条件は募集元でご確認ください。