轉職熱搜工作

【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=5308&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. Intelligent Scheduling Development Department (ISDD) in TSMC‘s Intelligent Manufacturing Center (IMC) is responsible for the dispatch and scheduling of various TSMC fabs. It considers multiple constraints such as processes, machines, products, and waiting times, and employs three main methods: 1. Automated rules (Rule based) 2. Optimization through mathematical planning models (Model) 3. Optimization with metaheuristic algorithms (Metaheuristic) The system determines the sequence of products that machines will produce in the future. Colleagues continuously refine the computational engine to improve solving performance and scheduling quality. They also utilize self-developed scheduling systems to help fabs adapt to various scenarios to achieve fab goals and tasks. Moreover, they constantly enhance fab production efficiency and increase wafer output by identifying and capitalizing on opportunities for improvement. Responsibilities: 1. Develop and maintain Scheduling / Dispatching and Manufacturing Report System. 2. Communicate with users to define requirements, design, implement, and deploy systems, and continuously improve them using software engineering methodology. 3. Design system architecture of cross department projects. 4. Lead system design review. 5. Survey and introduce new IT solutions.

【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=5301&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. The Facility Computer Integrated Manufacturing Department (FDCIM) is part of the Intelligent Manufacturing Center (IMC) at TSMC. It is primarily responsible for the development and maintenance of the following products: 1. Development and maintenance of manufacturing-related report products for wafer fabs. 2. Development and maintenance of engineering-related report products for wafer fabs. 3. Development and maintenance of digital operation system products for facility management. 4. Development and maintenance of big data application system products for facility management. 5. Development and maintenance of facility management AI and machine learning related algorithm development and application system products. FDCIM also employs software engineering and modular development techniques, combined with high-performance database application technologies, to develop systematized software with a unified version control system that accommodates different time zones and languages globally. In addition to its regular software product development work, FDCIM is also engaged in the research and development of new technologies, including the application of DevOps, Microservices, MLOps, AIOps, and more. Responsibilities: 1. Develop and maintain AI/ML systems and algorithms 2. Collaborate with cross-functional teams to identify and solve business problems using AI/ML techniques 3. Design and implement machine learning models and data pipelines 4. Test and validate AI models for accuracy, scalability, and efficiency 5. Deploy AI solutions to production environments 6. Stay up-to-date with the latest advancements in AI technologies and industry trends 7. Write clean and efficient code using HTML, CSS, and JavaScript 8. Optimize web applications for speed and scalability 9. Test and debug web applications across multiple browsers and devices 10. Stay up-to-date with the latest front-end development trends and best practices Work Location: Longtan/Hsinchu/Zhunan/Taichung/Tainan/Kaohsiung Upon meeting qualifications, those with strong foreign language communication skills may have the opportunity to be assigned to overseas fabs.

【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=5304&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. Automation Systems Integration Engineer in TSMC‘s Intelligent Manufacturing Center (IMC) has four missions: 1. To be familiar with TSMC‘s automation system architecture and software development lifecycle, define user requirements, and assist in providing integrated solutions to improve production line issues, such as process automation, enhancement of personnel/machine productivity, or optimization of quality monitoring. 2. To be enthusiastic about learning new technological knowledge and willing to understand the details of semiconductor production processes, possess data analysis capabilities to thoroughly investigate problems, and guide users in proposing complete and rational end-user requirements. 3. To have project tracking and management skills, proactively identify problems and actively seek resources for assistance, effectively intervene and manage conflicts when they arise, with frequent opportunities to present briefings for communication management. 4. In the event of system anomalies in the responsible fab area, one must responsibly understand the extent of the anomaly‘s impact and report back to supervisors, and collaborate with the relevant system personnel to resolve the issue within a reasonable time frame to avoid significant production line losses. Responsibilities: 1. Serve as a bridge between users and the system development team, assisting in finding system opportunity, defining requirements and continuously improving system experiences. 2. Collaborate with users to define precise system requirement and solution to improve tool efficiency, people productivity and quality defense. 3. Cooperate with cross-team members to manage project progress and be goal-oriented to deliver achievements. Work Location: Longtan, Hsinchu, Zhunan, Taichung, Tainan, Kaohsiung Fixed Rotation: On-call 1 week every 1.5 months. Event: In case of incidents affecting the production line, remote connection to the company is required for resolution.

【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=5309&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. The Intelligent Process Control Systems Department (IPCS) in TSMC‘s Intelligent Manufacturing Center (IMC) assists fabs in analyzing process issues. By employing techniques such as experimental design, statistical analysis, optimization algorithms, and machine learning, the department establishes R2R (Run-to-Run) process control models. Subsequently, in collaboration with the system development team, an automated control platform is established and rolled out across various fab zones. This integration aims to enhance staff efficiency and improve overall product quality. Responsibilities: 1. By employing methods such as control system development, algorithm design, and control performance diagnostics, we provide advanced control systems for the semiconductor industry. 2. We use machine learning and optimization algorithms to build models that deliver solutions meeting the needs of the fab zones. 3. We establish automated platforms that utilize techniques such as machine learning and AI for automatic parameter optimization, which reduces staff workload and enhances quality. 4. In collaboration with the system development team, we systematically implement and roll out innovative methods or improvements across various fab zones to boost staff efficiency and product quality. Work Location: Hsinchu/Taichung/Tainan

【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=5300&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. AQSD (Advanced Quality System Development) 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. AQSD Engineer for Quality system development using C#, python, Delphi, Web programming like java script, react/angular/Vue framework, etc. 2. A highly motivated individual with a background and capability to design a system to support quality management and solve Fab problems. 3. Working with a team which may include integration, module, quality team to achieve productivity, efficiency and quality excellence. 4. Analysis and optimize Fab quality management and delivery good solution. 5. Be responsible for sustaining ownership such as system operations. 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.

【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.

【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=328&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. Responsibilities: 1. Develop AI rule generator and QC pattern generator for complex design rule. 2. Automation for Design Rule Quality Check flow by python. 3. Automation for Design Rule Quality Check flow by excel VBA. 4. Advance technology and design co-optimization for manufacturing & PPAC. Primary Location: Taiwan-Hsinchu-TSMC R&D Center (Fab 12B)

【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=323&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. Responsibilities: 1. Overseeing the daily operations of IC foundry to ensure that all profiling operations, work flow, and customer reports are consistent with agreed upon service operations. 2. Analyze production related data and provide dynamical strategies to achieve organization production goals & KPI. 3. Assisting with scheduling projects to be completed, running projects upon compound receipt, analyzing data using database systems/tools built and updating tracking programs to keep operating smoothly. Schedule work plans in order to meet customer and business expectations. 4. Responding quickly to change priorities and handle multiple projects with potentially overlapping deadlines. 5. Contributing ideas and suggestions to improve standard techniques, protocols and processes. 6. Interacting with different functions like PE, PID and EQ to ensure robotic workstations, detection instruments, and database/informatics tools are built to meet the demands on the service. 1. 智慧製造工程師將學習領先全球之人工智慧製造技術。 2. 大數據分析、提升生產製造效率 : 透過數據分析，找出瓶頸機台，提升機台生產效率。突破性的分析派工專案系統，優化生產資源與最佳化製造效率。 3. 機器學習、創造無限可能 : 利用機器學習的研究方法，應用於生產流程改善，進而開發獨步全球的創新應用，達成生產排程的最佳化以及晶圓產出極大化。 4. 世界職涯舞台、晉升科技菁英 : 加入全球最先進的科技行列，與全球接軌，航向無限可能的未來！等待你的加入！

【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=322&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. Responsibilities: 1. Overseeing the daily operations of IC foundry to ensure that all profiling operations, work flow, and customer reports are consistent with agreed upon service operations. 2. Analyze production related data and provide dynamical strategies to achieve organization production goals & KPI. 3. Assisting with scheduling projects to be completed, running projects upon compound receipt, analyzing data using database systems/tools built and updating tracking programs to keep operating smoothly. Schedule work plans in order to meet customer and business expectations. 4. Responding quickly to change priorities and handle multiple projects with potentially overlapping deadlines. 5. Contributing ideas and suggestions to improve standard techniques, protocols and processes. 6. Interacting with different functions like PE, PID and EQ to ensure robotic workstations, detection instruments, and database/informatics tools are built to meet the demands on the service. 1. 智慧製造工程師將學習領先全球之人工智慧製造技術。 2. 大數據分析、提升生產製造效率 : 透過數據分析，找出瓶頸機台，提升機台生產效率。突破性的分析派工專案系統，優化生產資源與最佳化製造效率。 3. 機器學習、創造無限可能 : 利用機器學習的研究方法，應用於生產流程改善，進而開發獨步全球的創新應用，達成生產排程的最佳化以及晶圓產出極大化。 4. 世界職涯舞台、晉升科技菁英 : 加入全球最先進的科技行列，與全球接軌，航向無限可能的未來！等待你的加入！

【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=15353&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 Packaging‘s mission is to provide the best heterogeneous integration technology (HIT) that realizes system expansion and performance improvement, and to influence the development of the industrial ecosystem by achieving innovation together with our partners as the leading advanced packaging solution provider. Responsibilities: Act as first line guardian of TSMC world class chip manufacturing process. Ensure the stable quality of wafers output by monitoring and adjusting process parameters to enhance machine efficiency. 1. Develop and maintain baselines, including setting up recipes. (1) Improve the stability and accuracy of metrology recipes to enhance yield and reliability qualifications. (2) Responsible for transferring metrology solutions to volume manufacturing. 2. Employ cutting-edge technology to 3DIC metrology, including SoIC, CoWoS, InFO, and Panel. (1) Leverage your analytical abilities to improve metrology performance, guaranteeing high yield and device efficiency. (2) Identify challenges, formulate methodologies, propose solutions, and new metrology evaluation plans.