Cari Lowongan

【Hour Loop 飛輪電商】在2013年成立，並於2022年初在美國那斯達克上市。作為亞馬遜 (Amazon) 第三方賣家，我們的工作不只廠商開發，還包括商品上架、價格制定，以及物流與庫存管理，通通一手包辦。 在百萬競爭對手中，我們透過獨特的營運模式，成功實現十年來的持續成長，並脫穎而出，在2022年底躍升為亞馬遜 (Amazon) 前十名的賣家！ 我們提供彈性且暢通的職涯管道，不綁年資，端看績效表現，從「獨立貢獻者」到「管理職」適性發展！如果你喜歡打磨自身專業能力，鑽研獨立的工作項目，便適合獨立貢獻者的角色；若你有準確遠見，善於溝通和帶領團隊，你可

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: 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.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.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: Apply machine learning/optimization algorithm to build up models for optimizing semiconductor production.Develop analysis and optimization methods to enhance product quality, increase tool productivity and improve people productivity.Design, develop and test prediction models with real applications in manufacturing.Build a flexible framework to speed up the development process of AI models, with a focus on Large Language Models (LLMs) serving.Turn exciting AI prototypes/ideas into products, leveraging LLMs and other advanced AI technologies.Develop next-generation AI backend systems related to large-scale real-time data access, collection, analytics and monitoring.Establish and maintain MLops processes and tools, including model deployment, monitoring, and automation.Continuously improve the quality of AI production systems, particularly those utilizing LLMs.

【Hour Loop 飛輪電商】在2013年成立，並於2022年初在美國那斯達克上市。作為亞馬遜 (Amazon) 第三方賣家，我們的工作不只廠商開發，還包括商品上架、價格制定，以及物流與庫存管理，通通一手包辦。 在百萬競爭對手中，我們透過獨特的營運模式，成功實現十年來的持續成長，並脫穎而出，在2022年底躍升為亞馬遜 (Amazon) 前十名的賣家！ 我們提供彈性且暢通的職涯管道，不綁年資，端看績效表現，從「獨立貢獻者」到「管理職」適性發展！如果你喜歡打磨自身專業能力，鑽研獨立的工作項目，便適合獨立貢獻者的角色；若你有準確遠見，善於溝通和帶領團隊，你可能就是未來的帶人主管！ Job Description 1. Analyze market sales data and seasonality to discover potential products. 2. Assist senior business managers in developing purchasing strategies to maintain inventory levels. 3. Track the sales performance of products. 4. Calculate the potential profits of products to provide the best purchase advice. 5. Maintain product profit margins through pricing strategies. 6. Improve workflows by collaborating with teams to design scalable, efficient solutions through data analysis and automation 7. Use data-analysis tools (e.g., SQL, Python, R Language) to identify root causes and validate ideas Requirements Improve workflows by collaborating with teams to design scalable, efficient solutions through data analysis and automation Use data-analysis tools (e.g., SQL, Python, R Language) to identify root causes and validate ideas Strong problem-solving skills

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. As an AI/ML Engineer, you will be a key member of a versatile team focusing on both algorithm development and platform implementation for TSMC’s RD, Fab, Business, IT, and Security functions to improve productivity and work quality. The role involves developing AI/ML solutions, implementing scalable platforms to support AI productionization, and maintaining the lifecycle of machine learning models. Responsibility:Common Responsibilities1. Collaborate with cross-functional teams of data scientists, ML engineers, and software developers. 2. Drive the complete AI solution development stages from data collection, exploration, and feature engineering to model evaluation and error analysis.3. Perform model lifecycle management to ensure the validity of models in production. 4. Exercise sound judgment in determining if business problems can be addressed through AI/ML and communicate results effectively to domain users. 5. Operate and maintain scalable, highly available AI platforms with continuous measurement and quality improvement to meet SLO/SLAs. Differentiated Responsibilities1. AI/ML Solution Development(1) Develop AI/ML algorithms that optimize manufacturing processes, improving productivity and work quality. (2) Explain AI/ML models to internal customers and conduct error analysis.2. AI Platform Development (1) Design and implement full tech stack solutions, including data-related technologies and AI platforms.(2) Develop tools, automation, and microservices to extend platform capabilities. (3) Manage container-based workloads and process high volumes of data in environments like Kubernetes.Additional information for the job: Job Location: Hsinchu Site, Taipei Office (Experienced only)On-call needs: On-call 1 week every 3 months The complete interview process includes:1. Manager interview2. Hackerrank test3. On-site personality and English test(which could be replaced if you have script of officially English test) 4. HR interview5. Second manager interview (Optional assessment)6. Technical review (Optional assessment)

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: Development and maintenance of manufacturing-related report products for wafer fabs.Development and maintenance of engineering-related report products for wafer fabs.Development and maintenance of digital operation system products for facility management.Development and maintenance of big data application system products for facility management.Development and maintenance of facility management AI and machine learning related algorithm development and application system products. Responsibilities: 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. Develop and maintain AI/ML systems and algorithmsCollaborate with cross-functional teams to identify and solve business problems using AI/ML techniquesDesign and implement machine learning models and data pipelinesTest and validate AI models for accuracy, scalability, and efficiencyDeploy AI solutions to production environmentsStay up-to-date with the latest advancements in AI technologies and industry trendsWrite clean and efficient code using HTML, CSS, and JavaScriptOptimize web applications for speed and scalabilityTest and debug web applications across multiple browsers and devicesStay up-to-date with the latest front-end development trends and best practices

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. We are seeking outstanding engineers to join TSMC IT infrastructure team to build and operate IT advanced Data Center to support world-class semiconductor foundry.This team is responsible for designing, implementing and optimizing IT infrastructure towards software-defined computing, storage and networking with advanced cloud technologies.The successful candidate should have strong technical skills and dedication for operation excellence. Responsibilities: Your responsibilities include:1. Network/Storage Design and Management:(1) Design, construction, operation, and capacity planning of large-scale NAS storage/object storage. (2) Operate and manage network infrastructure, including LAN, WLAN, Firewall, and Proxy.(3) Design, implement, and manage scalable network architecture aligned with business goals and industry best practices. 2. Automation and Scripting:(1) Develop and maintain automation scripts for network configuration, monitoring, and management using tools like Ansible and Python. (2) Transform repeatable tasks into automation tools to streamline operations and maximize efficiency. 3. Application Development:(1) Develop state-of-the-art applications and refactor existing applications for improved performance and maintainability.(2) Write and implement tests (unit/feature/integration) to guarantee software integrity. 4. Monitoring and Troubleshooting:(1) Implement monitoring solutions to proactively identify and resolve network and application issues. (2) Perform root cause analysis and corrective actions to troubleshoot technical challenges, including Linux-related systems and logs (e.g., Go code/log analysis). (3) Infrastructure operation issues(network/server/storage/security) visualization and countermeasure planning. Additional information for the job:Job Location: Hsinchu Site, Taichung Site, Tainan Site, Taipei Office (Experienced Only)On-call needs: On-call 1 week every 3 months 1. Manager interview2. Hackerrank test3. On-site personality and English test(which could be replaced if you have script of an official English test)4. HR interview5. Second manager interview (Optional assessment)6. Technical review (Optional assessment)

IntroductionThis internship opportunity is offered within a team that focuses on leveraging data and digital tools to improve efficiency, visibility, and decision-making across the organization.As data volume and reporting needs continue to grow, the team is facing challenges in data consolidation, reporting scalability, and automation, making data-oriented support increasingly important.Your assignmentThe intern will support data preparation, reporting, and documentation using Microsoft Excel, Word, and Power BI.Responsibilities include assisting with dashboard development, data validation, and structured reporting, as well as exploring automation or integration opportunities using Power BI and Python (if applicable).This internship is particularly interesting as it provides hands-on experience in real operational scenarios, exposure to cross-functional collaboration, and opportunities to apply technology to improve work processes.Your profileCurrently pursuing a degree related to engineering, information systems, data, or a related fieldBasic to good proficiency in Microsoft Excel and WordInterest or experience in Power BI and data visualizationPython knowledge is a plus, especially for data processing or automationStrong learning mindset, curiosity, and willingness to explore new toolsGood communication skills and ability to work collaboratively in a team environmentInclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.

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: 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.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.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.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: Serve as a bridge between users and the system development team, assisting in finding system opportunity, defining requirements and continuously improving system experiences.Collaborate with users to define precise system requirement and solution to improve tool efficiency, people productivity and quality defense.Cooperate with cross-team members to manage project progress and be goal-oriented to deliver achievements.

Role PurposeAs an Applied AI Engineer, you design and deliver practical AI solutions that improve efficiency, quality, and scalability within ASML Customer Support.Your focus is on applying AI and Generative AI in real operational environments, turning business needs into AI solutions that are reliable, secure, and ready for daily use.This role sits at the intersection of AI, software solutions, and business operations, working closely with IT, engineers, and business stakeholders.Key ResponsibilitiesApplied AI Solution DevelopmentDesign and build AI‑driven solutions that support process improvement, intelligent diagnostics, and decision support.Apply Generative AI and agent‑based AI concepts to automate and simplify complex workflows.Translate operational challenges into practical, usable AI solutions that deliver measurable business value.Software Platform EngineeringBuild AI solutions in a clear and structured way, so they are easy to understand, update, and support over time.Ensure AI solutions run on ASML‑approved systems and data platforms, not personal tools or one‑off scripts.Work together with IT and platform teams so solutions are stable, secure, and suitable for daily operations.Make sure solutions are reliable, protect sensitive data, and can be maintained or improved by others in the future.Stakeholder CollaborationCollaborate with IT teams, software engineers, and business stakeholders to align AI solutions with business needs and company standards.Explain AI concepts and solution choices in a clear, practical, and non‑technical way when needed.Act as a bridge between business problems and technical solutions.Adoption Continuous ImprovementSupport the adoption and scaling of AI solutions across teams.Continuously follow developments in AI, Generative AI, and automation, and propose improvements relevant to ASML.Contribute to a culture of continuous improvement and learning.Education ExperienceBachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.5+ years of experience in software development or automation‑related roles.3+ years of experience applying AI or data‑driven solutions in an enterprise or industrial environment.Experience working with cloud or enterprise data platforms is preferred.Knowledge SkillsCore SkillsStrong problem‑solving mindset and ability to translate ideas into working solutions.Practical experience implementing RAG‑based AI solutions, including document retrieval, ranking, and AI‑assisted response generation.Familiarity with vector search, embeddings, or knowledge‑based AI systems used in enterprise environments.Experience creating reports, dashboards, or insights using tools such as Power BI, Tableau, or Excel.Professional CompetenciesClear communication with both technical and non‑technical stakeholders.Structured and disciplined way of working.Strong ownership mindset and ability to work independently.Willingness to learn and adapt in a fast‑evolving AI landscape.Nice to HaveKnowledge of ASML products, diagnostics tools, or customer support processes.Experience working with industrial, operational, or machine data.Awareness of data security, compliance, and enterprise governance.This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.Inclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.

Key elements of the job include:• Plan daily move in/out materials and communicate with 3rd party ( rigger ) support.• Simulate fab layout and go to fab to evaluate space demand to secure machine / materials move in.• EMO/Priority materials delivery / return arrangement.• Plan on pre-install set , machine system and RETM schedule with stakeholders.• Drive operation improvements by data analysis and tracking pending items according internally data.Personal skills• Excellent skills and proven track record in operational planning and execution, in a high-tech or otherwise highly complex and cross-sectorial business environment.• Can manage high dynamics, whilst having the drive to deliver, structure and continuously improve.• New project / system trial run owner and willing to feedback result , knowledge sharing and improvement.• Remains effective under high pressure and keeps re-evaluating priorities• Familiar with ERP; SAP experience is preferred- Customer dedicated and service minded- Data analysis skill and familiar to sort data by EXCEL processing.- Great communication skill with customer and team members .- Good communication in Mandarin and English- Experience with working in a multi-cultural environmentOther information- Traveling max 50% , including Hsinchu, Taichung, and Kaohsiung.Inclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.