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Hsinchu City, Taiwan
Full-time
Entry level
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. Are you a creative IT professional with strong technical aptitude who embraces changes and is passionate about data and information? We invite you to join our highly innovative data engineering team which is constantly designing, developing, and delivering high quality solutions for our customers. As a data engineer, you will have opportunities to work in a dynamic and fast-paced environment to collaborate with business functions to design solutions. You will translate business requirements into technical needs, connect and automate data pipelines, and deliver data architecture and data governance solutions. Responsibility: Perform IT system architecture design, new technology research, and provide recommendation.Design and implement optimal data pipeline architecture (considered high data volume, data governance, etc.).Work with PRODUCT/BIZ teams to assist with new data platform re-engineering or data-related technical issues.DataOps high availability NoSQL DB (e.g.: Cassandra, S3/MinIO, MariaDB, etc.) on K8s environment.
TGC Europe
40K+ TWD / month
No requirement for relevant working experience
No management responsibility
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.
Negotiable
No requirement for relevant working experience
Managing staff numbers: not specified
我們在尋找熱愛創新、善於解決問題的你!隨著AI的發展,軟體開發的領域也進一步深化,身為友達的全端工程師,你將負責雲開發與數據工程開發,並導入AI工具,增進團隊開發的效率與深度。友達光電誠摯邀請您加入我們,與我們共創未來!【工作內容】1. 負責AWS/Azure全端開發與維護 (側重後端)。2. 實作後端 API 與 Databricks 數據平台之整合與介接。3. 協助數據工程開發,包含編寫 PySpark 處理流程。4. 導入與優化 AI 開發工具,提升團隊開發效率。
Negotiable
No requirement for relevant working experience
No management responsibility
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
【Position Overview】1. Data Integration for Analytics – Combine data from different applications, formats, and locations to enable easier correlation analysis and provide a comprehensive view of business and operational performance, ensuring broader data coverage and automated traceability across the value chain.2. Unified NPI Data Platform – Support the development of a unified NPI Data Platform to break down long-standing data silos and enable cross-site automatic correlation coverage.3. Scalable Data Foundation – Establish an analytics-ready data foundation through data ingestion, cleansing, preprocessing, labeling, and transformation to support scalable analytics and automation.【Responsibilities】1. Led the development of a fully automated Foundry Die Map collection and parsing engine. 2. Support engineers to devolops computer programs to collect and integrate data.3. Resolve the pain point of heavy reliance on semi-manual coordinate alignment, achieving strong site-to-site correlation from Silicon Waste to Final Test4. Responsible for the entire process of Database Schema design and database performance optimization from Silicon to Final Test.5. Toward transforming raw data into meaningful and valuable information. 6. Data mining, data analysis, data processing.7. Complete tasks assigned by supervisors.
"SPSS"
"Python"
"MS SQL"
Negotiable
No requirement for relevant working experience
No management responsibility
Position OverviewThe HMI CS Operations Specialist is responsible for supporting customer service operations through data analysis, reporting, coordination, and cross-functional communication. This role ensures operational efficiency, accurate reporting, and smooth execution of logistics and departmental activities.Key Responsibilities1. Data Analysis ReportingCollect, clean, and analyze operational and customer service dataGenerate regular and ad-hoc reports to support decision-makingDevelop and maintain BI (Business Intelligence) dashboards and performance metricsMonitor KPIs such as service level, response time, and shipment performanceProvide insights and recommendations to improve operational efficiency2. Business Intelligence (BI) ReportingPrepare structured BI reports using internal tools or platformsEnsure data accuracy, consistency, and timely delivery of reportsSupport management with data visualization and trend analysisCollaborate with stakeholders to define reporting requirements3. Meeting Coordination HostingOrganize and host internal and cross-functional meetingsPrepare meeting agendas, presentations, and materialsDocument meeting minutes, action items, and follow-upsFacilitate communication between teams to ensure alignment4. Logistics Shipping CoordinationTrack and coordinate shipment status and delivery schedulesLiaise with logistics partners, vendors, and internal teamsHandle shipping documentation and issue resolutionEnsure timely and accurate delivery of products/services5. Department Activities CoordinationSupport planning and execution of departmental activities and projectsAssist in process improvement initiativesCoordinate team events, training sessions, or internal programsProvide administrative and operational support to the CS team6. Excel Data ManagementUtilize advanced Excel functions (Pivot Tables, VLOOKUP, formulas, etc.)Maintain structured datasets and ensure data integrityAutomate routine reporting processes when possible7. Presentation Documentation (PPT)Create professional PowerPoint presentations for management and stakeholdersSummarize data insights into clear, visual formatsSupport business reviews and performance presentationsQualificationsBachelor’s degree in Business, Operations, Data Analytics, or related field1–3+ years experience in customer service operations, logistics, or data analysisStrong proficiency in Microsoft Excel and PowerPointExperience with BI tools (e.g., Power BI, Tableau) is a plusGood analytical and problem-solving skillsKey SkillsData analysis reportingBusiness intelligence dashboard creationCommunication and meeting facilitationLogistics coordinationOrganizational and multitasking abilityAttention to detail and accuracyPreferred TraitsProactive and results-drivenStrong teamwork and collaboration skillsAbility to manage multiple tasks in a fast-paced environmentIf you want, I can also:Tailor this JD for internal promotion vs hiring postAdd KPIs / performance metricsConvert it into a resume format or LinkedIn job postInclusion 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.
Negotiable
No requirement for relevant working experience
1. Assist Material handler: Collaborate with the Material Handler to ensure smooth material logistics, including inventory management and distribution.2. Supporting CS daily operation for local leader assignment: Provide support for daily Customer Service operations, assisting with local leader assignments and ensuring efficient communication channels.3. Weekly meeting hosting assist: Host and assist in weekly meetings, ensuring logistical arrangements and coordination are seamless.4. Weekly report support and raw data material preparation: Support weekly reporting activities by preparing raw data materials, ensuring accuracy and completeness.5.Assist in maintaining Power BI data updates and report maintenance to ensure data accuracy and timely updates.Additional Information:1. Bachelor or Master student. (需有在學身分)2. English communication skill3. Capable of creating automation tools (e.g., Power BI, Excel VBA, etc.)4. Proficient in relevant software tools for data preparation and reporting5. Strong organizational and multitasking skills6. Excellent communication and interpersonal abilities7. Detail-oriented with a focus on accuracy8. Ability to work collaboratively in a team-oriented 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.
Negotiable
No requirement for relevant working experience
Introduction to the jobProvides administrative support, reporting, data consolidation and analysisRole and responsibilitiesSupport Workday time tracking regular tasksResponsible for processing/providing reporting to stakeholders regularlyResponsible for data consolidation and analysisFacilitate regularly tasks relevant to payroll processEducation and experienceBachelor/ MasterSkillsProvides administrative support within payroll scopeCollaborate with stakeholders to analysis dataExcel skill (Pivot, VBA)DocumentationData reporting managementAnalyze data with logical thinkingInclusion 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.
Negotiable
No requirement for relevant working experience
Key ResponsibilitiesProvide office support to the UIR project team, with a primary focus on UIR OE initiatives.Support SCM quality data checking, validation, and ongoing digital tooling maintenance.Review and analyze SCM quality data and results, with particular emphasis on QTS quality performance, and prepare regular reports.Work closely with UIR RPM stakeholders to deliver timely data analysis feedback on a weekly basis.Support the maintenance and continuous improvement of ONE UIR digital tooling, ensuring data accuracy and usability for daily operations.Plus Value / Added ValueThis role is expected to leverage digital and automation tools to improve visibility and efficiency of existing databases and daily UIR operations, including but not limited to:- Power BI- Python- Excel VBA- Power AutomateRequired Skills CompetenciesProficient in Microsoft Office applications, including Excel, Word, PowerPoint, and Outlook.Capable of developing or maintaining automation and reporting tools (e.g., Power BI, Power Automate).Able to prioritize tasks, structure daily operations, plan ahead, and meet deadlines.Strong organizational and multitasking skills.Demonstrates a learning mindset, actively developing skills based on experience and feedback.A team player with good interpersonal and communication skills.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.
Negotiable
No requirement for relevant working experience
Job Description:Key ResponsibilitiesUnderstand quickly semiconductor and ASML hardware/ software terminology and internal organizational process in a basic level.Provide office support to the UIR project team, with a primary focus on UIR Quality Improvement initiatives.Support issue resolution and craftmanship review data visualization, cleaning, optimization, and data mining aiming for organization-level improvement.Work closely with UIR stakeholders to deliver timely data analysis feedback on a weekly basis.Support the maintenance and continuous improvement of organization KPI digital tooling, ensuring data accuracy and usability for daily operations.Plus Value / Added ValueThis role is expected to leverage digital and automation tools to improve visibility and efficiency of existing databases and daily UIR operations, including but not limited to:- Excel pivot table- Excel VBA- Power BI- PythonRequired Skills CompetenciesProficient in Microsoft Office applications, including Excel, Word, PowerPoint, and Outlook.Able to prioritize tasks, structure daily operations, plan ahead, and meet deadlines.Strong organizational and multitasking skills.Demonstrates a learning mindset, actively developing skills based on experience and feedback.A team player with good interpersonal and communication skills.Skills Tags:Inclusion and diversity:ASML 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.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.
Negotiable
No requirement for relevant working experience

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