轉職熱搜工作

1. 電子/韌體/機構設計專案時程管理 2. 客戶溝通與技術問題討論 3. 內部跨部門溝通與工作分配 4. 管理技術專案管理團隊 5人

【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=5292&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. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an 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 the Company began construction on a specialty technology fab in Dresden, 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. TSMC is searching for a Computer Vision and Machine Learning Software Manager for Mask-Making and computational application. As the leader of the in-house image and AI team, you will be responsible for delivering state-of-the-art technology for defect image inspection, evaluation, treatment, and analysis. Our software focuses on defect image inspection, evaluation, treatment, and analysis. The objective is to become the leading team in mask-technology software, supported by the most cutting-edge tools and the largest database accessible. Responsibilities: 1. Manage in-house inspection project, including image processing code and model structure design, implementation, and verification. 2. Code for GPUs to optimize computing resources for image processing and machine learning. 3. Implement style transfer and GAN for high-accuracy image simulation. 4. Develop image processing and deep-learning model for image segmentation and classification. Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace 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. We strive to create a workplace that is equitable and accessible to all employees. 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.

【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. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an 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 the Company began construction on a specialty technology fab in Dresden, 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. Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace 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. We strive to create a workplace that is equitable and accessible to all employees. 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.

【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. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an 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 the Company began construction on a specialty technology fab in Dresden, 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. Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace 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. We strive to create a workplace that is equitable and accessible to all employees. 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.

【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. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an 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 the Company began construction on a specialty technology fab in Dresden, 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. Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace 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. We strive to create a workplace that is equitable and accessible to all employees. 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.

【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. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an 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 the Company began construction on a specialty technology fab in Dresden, 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 Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace 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. We strive to create a workplace that is equitable and accessible to all employees. 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.

＜About the Job＞ We are looking for a highly motivated and skilled AI Infrastructure Engineer with strong hands-on experience in Kubernetes (K8s), particularly in supporting AI/ML workflows. In this role, you will be instrumental in designing, implementing, and maintaining robust, scalable, and high-performance Kubernetes-based infrastructure that supports the entire lifecycle of our AI applications—from data processing and model training to deployment and monitoring. You will work closely with data scientists, AI/ML engineers, and DevOps teams to ensure seamless integration of AI/ML workloads within cloud-native environments. The ideal candidate has a deep understanding of container orchestration, distributed systems, and MLOps practices, and is passionate about building efficient, reliable platforms that enable rapid AI innovation. This is a unique opportunity to work at the intersection of AI and cloud infrastructure, contributing to next-generation systems that power intelligent applications at scale. ＜Job Responsibilities＞ ．Design & Architecture: Design, build, and scale a reliable and efficient Kubernetes platform optimized for AI/ML workloads. This includes provisioning GPUs, managing resources, and ensuring optimal performance for computationally intensive tasks. ．Infrastructure Management: Manage the entire Kubernetes cluster lifecycle—from provisioning and configuration to ongoing maintenance, monitoring, and troubleshooting, ensuring high availability and scalability. ．Deployment & Automation: Develop and implement CI/CD pipelines to automate the deployment, scaling, and updating of machine learning models and AI services. Ensure seamless integration with AI tools like Kubeflow, MLflow, and Argo Workflows. ．Performance Optimization: Continuously monitor and optimize system performance, focusing on resource utilization, latency reduction, and improving the overall efficiency of AI workloads. Ensure high availability and minimal downtime for AI services. ．Collaboration & Guidance: Work closely with data scientists, ML engineers, and cross-functional teams to understand their infrastructure requirements and provide technical solutions to meet workload demands effectively. ．Security & Compliance: Implement best practices for cluster security, including network policies, access controls, and vulnerability management to safeguard sensitive data and maintain compliance. ．Cost & Resource Efficiency: Manage resources effectively to optimize cost while maintaining high-performance infrastructure for AI model training, inference, and data processing. ＜Skills & Qualifications＞ ．Kubernetes Expertise: You should have hands-on experience with Kubernetes (K8s) architecture, including deploying applications, managing resources, and troubleshooting complex cluster issues in a production environment. ．Containerization & Linux Environment: Strong knowledge of container technologies such as Docker, along with hands-on experience in Linux environments. Expertise in container orchestration and deployment practices is highly valued. ．AI Workloads: Deep understanding of GPU scheduling and performance optimization, including strategies for resource allocation, workload balancing, and maximizing throughput for AI/ML tasks. ．Automation & CI/CD: You need practical experience with building and managing CI/CD pipelines using tools like GitLab CI, Jenkins, GitHub Actions, or ArgoCD to automate deployments. ．Programming & Scripting: Proficiency in at least one scripting language (e.g., Python, Bash) is a must. ．Networking: Knowledge of container networking and service mesh technologies (e.g., Istio, Linkerd) is highly desirable and a great advantage.

【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. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an 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 the Company began construction on a specialty technology fab in Dresden, 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. Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace 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. We strive to create a workplace that is equitable and accessible to all employees. 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.

【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. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an 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 the Company began construction on a specialty technology fab in Dresden, 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. Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace 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. We strive to create a workplace that is equitable and accessible to all employees. 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.