轉職熱搜工作

1. Conduct data collection, preprocessing, analysis, feature engineering, AI development, and deploy AI application services. 2. Utilize machine learning, generative AI, and data analytics technologies to design AI models for specific applications (e.g., robotics, healthcare, cybersecurity, energy, etc.) using unstructured data (e.g., videos, images, log data, human behavior, network traffic packets, etc.). 3. Optimize and integrate distributed training and large-scale AI model optimization tools and frameworks (e.g., Horovod, FairScale, DeepSpeed, etc.). 4. Collaborate with cross-functional teams to understand business requirements and propose 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=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.

參與Omniverse平台自主移動機器人模擬器開發及功能驗證，工作內容包括: 1. 協助使用Isaac sim開發自主移動機器人模擬器 2. 與自主移動機器人演算法(如視覺導航)串接並進行功能驗證

Develop AI imaging technology for smart robots and robotic dogs, participating in one or more of the following technology developments: 1. VLM (Vision-Language Model) navigation and LBM (Large Behavior Model) integration. 2. End-to-end vision-based 3D environmental perception. 3. Real-time image tracking and terrain analysis. 4. Multi-robot collaboration, formation control, and swarm intelligence. 5. Validation using the Omniverse simulation platform. 6. Integration and development of physical robots and robotic dogs.

1. Research and development of multi-modal perception fusion algorithm software. 2. Machine learning/machine vision, and AI/GAI/Agentic AI algorithm research and development.

【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.

1.Development of machine vision correction algorithm 2.2D/3D optical detection algorithm development 3.Development of SLAM image computing algorithm 4.GAI/AI model development 5. Machine vision system integration