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Overview In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day and we need you as a Critical Environment Energy Marshall. Microsoft’s Cloud Operations Innovation (CO+I) is the engine that powers our cloud services. As a CO+I CE Energy Marshall, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform. As a group, CO+I is focused on the personal and professional development of all employees and offers training and growth opportunities including Career Rotation Programs, Diversity Inclusion trainings and events, and professional certifications. Our infrastructure is comprised of a large global portfolio of more than 200 datacenters in 32 countries and millions of servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.Responsibilities: Oversees and assures the overall compliance of Microsoft’s Energy Isolation Program and establish acceptance criteria for authorizing campus Energy Isolation Plan.Implements learnings, provides consistency, and drives rigor into Microsoft’s Energy Isolation program and ensures program meets or exceeds company safety policy requirements.Utilise local code and standards as the foundation for Microsoft’s Energy Isolation program that is implemented throughout the campus.Establish with the Engineering team a centralized Lockout Tag Out (LOTO) procedure with all campus entities and determine if a group or individual LOTO procedure will be required.Commencement of energy isolation activities with updates on a continuous basis.Liaise with Microsoft construction team where Energy Isolation activities may potentially impact data center core operations.Act in coordination with the Engineering team as a subject matter expert in all energy isolation incident investigations in area of responsibilityParticipate in high-risk activity (HRA) planning meetings associated with energy isolation.Ensures high-risk SOWs, SOPs and MOPs are reviewed, and all sources of energy are identified.Ensure a process is established that verifies qualifications, training, and Personal Protective Equipment (PPE) for personnel performing the work.Generate monthly reports highlighting activities and general status of energy isolation program

Google welcomes people with disabilities.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Taipei, Taiwan; Taoyuan, Taoyuan District, Taoyuan City, Taiwan.Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience in network (layer 4 and below) troubleshooting with optics, fibers, switches and related network equipment. Preferred qualifications: Experience on physical machine fleet provisioning in data center-like environments. Experience with networking administration, maintenance, and database management. Experience with software development languages, particularly Python, Linux or other Unix operating systems such as Ubuntu, and RHEL, etc. Understanding of computer systems like server, storage, or GPU system architecture. Excellent written and verbal communication skills, with the ability to coordinate and manage the needs of multiple lab users. About the jobIn this role, you will be responsible for the design, development and delivery of Google’s compute and storage machines to satisfy Google data center internal use and external cloud customers. The work scope is to ensure the continuous operation of the system lab, including the networking, and infrastructure such as power/cooling.Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Responsibilities Support various hardware bring up and qualification testing activities by operating various Google proprietary systems and setting up proper network environments.  Design and define the network topology, provide assistance to establish proper power and cooling infrastructure for medium and low-touch labs with remote control functionality.  Develop infrastructure required for managing the fleet of test systems at scale to improve automation and test execution efficiency. Develop quality data collection, analysis and visualization systems in support of system verification. Support hardware, software and hardware qualification engineers on project planning and ensure adequate resources (networking capability, space, power) are met as required. Interact with various stakeholders to provide assistance to resolve complex lab related issues. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.Responsibilities: AI algorithm/application research and development on image recognition, time series forecasting, and abnormal detectionAI system design and development, including system infrastructure (docker/K8S) and web application.AI System analysis, design, development and integration for cross organizations/systems projects.Innovate, develop and introduce Intelligent Manufacturing Solutions.Hiring Organization: IMC

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.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.

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.

駐點服務工作事項如下：(一)系統運作狀況確認1.每工作日確認系統運作無誤。2.每工作日並監控、分析及處理本專案系統平台之運作狀況，包括CPU、記憶體、I/O、網路、資料庫，並作成紀錄。3.每工作日例行檢查設備狀況，並進行設備相關log檔案檢查。4.每工作日檢查系統平台運作與效能監控說明、log檢查結果及儲存空間使用情形，並彙整於定期服務報告中。5.依本會指示或有特殊狀況經本會同意，關閉及重啟系統或主機。(二)異常排除本專案服務範圍如有瑕疵、發生系統故障或有其他異常狀況，能作第一時間處理及排除，如有無法處理事項時，立即聯絡得標廠商進行支援處理。(三)系統諮詢現場資訊服務工程師提供本專案各項問題的諮詢服務，並應採用業主報修系統將所有問題處理過程進行記錄與追蹤，同時主動發現及收集整理對於本案服務範圍各項資訊系統之改善意見，提供業主及得標廠商，得標廠商並應彙整於定期服務報告中。

1. 現場勞安規劃、執行、檢查、教育訓練及配合內外業作業。 2. 督導及協助工地環保相關作業及事務。 3. 督導及協助勞安資料統計、不定期安衛相關會議。3. 配合施工中專案執行職業安全衛生設計變更等業務。4. 完成內業事務處理含總務事務。提醒：1. 此職務必須一位擁有營造業甲種職業安全衛生業務主管證書、一位擁有乙級職業安全衛生管理員證照。2. 有(電匠)室內配線乙級技術士者，或有意考取者擇優錄取。

1.負責桃園捷運綠線線上維護及保養。2.電梯、電扶梯保養/維修。3.必須具升降機丙級證照。4.有電梯或手扶梯工作經驗。5.提供交通津貼。備註：須配合平日值班與假日輪班

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. Manage and lead the design, implementation, and maintenance of AI infrastructure systems for reliable operations of VNAP's AI prediction services and training environments Co-work with IT/CIM infra teams, which host CPU/GPU application servers and database services such as VM/K8S, Kafka, MongoDB, Oracle middleware for VNAP, to ensure high availability and reliability through well-established monitor metrics and alarms.Design and implement infra-as-code tools like Ansible and Terraform to establish auto-recovery mechanisms to minimize tool idle/hold lot impacts caused by system issues.Develop and maintain applications using C#/Delphi/Python on top of those infrastructure systems.Work location : Hsinchu or TaoyuanHiring Organization: IMC