求職服務專線
台北 02-2912-6104 轉 2
   02-7703-3104 轉 2
意見回饋
廠商求才專線
台北 02-2912-6104
   02-7703-3104
台中 04-3700-6104
上海 86-21-50277104 轉 1
意見回饋

Yield Analysis Engineer

  • 全職

【本職缺僅接受台積電官方網站投遞】
請至台積電官方網站投遞個人履歷表,此職缺履歷登錄網址:https://tinyurl.com/y989r8ut

The Role
TSMC is the world's largest semiconductor foundry. We equip with high volume manufacturing capabilities for malicious semiconductor technologies and is developing more advanced semiconductor process technologies such as N3/N2. We are seeking for data analyst to work with domain experts to support yield ramp up and diagnostic. The team is responsible for developing systems which work with semiconductor domain experts to analyze root cause of yield, defect and quality event.
The successful candidate will have strong technical skill, ability to learn the world-class business and a dedication to delivering quality code.

Responsibilities
1.Develop and operate the systems, functionality and service.
2.Contribute to the software development culture of the group.
3.Co-work with semiconductor experts to come out systematic approach for yield baseline management and develop free analysis methodologies for yield diagnostic.
4.Develop and maintain relationships across groups with all the stakeholders in the system.
5.Design, extend and review software architecture.
6.Be hands on and involved with every stage of the product development cycle.
7.Contribute to standards and best practice for software engineering.
8.Share and seek expertise across groups at tsmc.

工作條件

  • 接受身份: 上班族
  • 工作經歷: 不拘
  • 學歷要求: 碩士以上
  • 語文條件: 不拘
  • 其它條件:

福利制度

詳見企業網站 http://www.tsmc.com/chinese/careers/compensation_benefits.htm

如欲投遞履歷,請上台積官網 http://www.tsmc.com/chinese/careers/index.htm

更新日期:2021-09-13

應徵方式

  • 職務聯絡人: 招募部
  • 聯絡E-Mail: 未填寫 我要應徵
  • 洽: 不接受電洽
  • 洽: 不接受親洽
  • 它: 其他應徵方式及備註: 【本職缺僅接受台積電官方網站投遞】
    請至台積電官方網站投遞個人履歷表,此職缺履歷登錄網址:
    https://tinyurl.com/y989r8ut
    ===========================================
    若有任何疑問,請來信 tsmchr@tsmc.com (本信箱不接受履歷表),謝謝!
    ===========================================

應徵分析

兩週內0-5人應徵
經歷分佈
新鮮人25%
1~3年50%
3~5年0%
5~10年25%
10年以上0%
學歷分佈
碩士及以上75%
大學25%
專科0%
高中0%
高中以下0%
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