AI & Data Analysis Engineer (Dept: AQSD, Div: IMC)

台灣積體電路製造股份有限公司(台積電) ‧259個職缺
  • 全職

面議(經常性薪資達4萬元或以上)

  • 碩士

  • 博士

新竹縣 寶山鄉

  • 需求人數

    不限

  • 到職日期

    不限

  • 更新日期

工作內容

職缺描述

【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://careers.tsmc.com/careers/JobDetail?jobId=5302&source=1111 Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. In 2023, the company served 528 customers with 11,895 products for high performance computing, smartphones, IoT, automotive, and consumer electronics, and is the world’s largest provider of logic ICs with annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and its ESMC subsidiary plans to begin construction on a fab in Germany in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. Advanced Quality System Development (AQSD) is part of TSMC‘s Intelligent Manufacturing Center (IMC), responsible for three main directions: 1. Use statistical methods and conditional monitoring to inspect fab control charts, providing early warning of abnormal product yields; offer a fab defense system settings comparison platform to check that machines meet the internal control anomaly conditions set by the engineering department. 2. Develop online fab analysis platforms through Big Data, Machine Learning, and Deep Learning techniques for online yield/defect analysis to ensure the quality of wafers produced in the fab. 3. Develop systems and provide logical operations to control and implement escape mechanisms for material batch changes, measurement stages, and inspection stages, ensuring quality and optimizing product sampling rules. Responsibilities: 1. Apply machine learning/optimization algorithm to build up models for optimizing semiconductor production. 2. Develop analysis and optimization methods to enhance product quality, increase tool productivity and improve people productivity. 3. Design, develop and test prediction models with real applications in manufacturing. 4. Build a flexible framework to speed up the development process of AI models, with a focus on Large Language Models (LLMs) serving. 5. Turn exciting AI prototypes/ideas into products, leveraging LLMs and other advanced AI technologies. 6. Develop next-generation AI backend systems related to large-scale real-time data access, collection, analytics and monitoring. 7. Establish and maintain MLops processes and tools, including model deployment, monitoring, and automation. 8. Continuously improve the quality of AI production systems, particularly those utilizing LLMs. Work Location: Longtan, Hsinchu, Taichung, Tainan On-Call Needs: Newcomers do not need to be on duty for the first six months. On call for 1 week every 3 months. Diversity, Equity and Inclusion (DE&I) reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to DE&I allows us to create an environment where every employee, regardless of gender, age, disability, religion, race, ethnicity, nationality, political affiliation, or sexual orientation, can bring their unique perspective and experiences to work, enabling us to drive profitability, increase productivity, and unleash innovation. To strive to create a workplace that is equitable and accessible to all employees, we also provide reasonable accommodations for qualified individuals with disabilities. We are committed to fostering an inclusive culture where every employee feels valued and empowered to contribute to our mission and provide excellent service to our global customers.

收合內容

工作待遇

面議 (經常性薪資達4萬元或以上)

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職務類別

  • 機器學習工程師

工作性質

  • 全職

工作時間

  • 日班

休假制度

  • 週休二日

工作地點

新竹縣寶山鄉台灣(龍潭、新竹、台中、台南)

要求條件

學歷要求

  • 碩士

  • 博士

工作經驗

不拘

外語能力

不拘

工作技能

不拘

附加條件

1. Master‘s Degree or above in an engineering field such as Mechanical Engineering, Electrical Engineering, Industry Engineering, Engineering Management, Computer science, Information Engineering. 2. Exhibit good and open communication skills, be able to work within cross-functional teams, including internal and external partners. 3. Fluent in English. 4. No prior work experience needed. 5. Practical or research experiences in machine learning/data science/data engineering/LLM preferred.

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公司資訊

品牌名稱

產業類別

  • 半導體製造

聯絡資訊

聯絡人員

招募部

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://careers.tsmc.com/careers/JobDetail?jobId=5302&source=1111

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