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▋▍About Us｜關於我們（醫療 X 科技） 用數據與科技，重新定義慢性病照護。慧康生技（Health2Sync）旗下產品「智抗糖 App」是亞洲最大的慢性病管理平台。我們不只提供數位工具，更致力於建構一個連結病患、醫療單位與藥廠的「數位醫療生態圈」。不同於傳統藥品或醫材銷售，我們的業務團隊是醫療數位轉型的推手。我們鼓勵創新、重視自主管理，並提供極大的空間讓你發揮創意，開發多元的合作模式。如果你對「科技如何改變醫療」充滿熱情，歡迎加入我們，一起開拓台灣數位醫療的新版圖。 ▋▍Why Join Us｜為什麼加入我們 定義未來醫療模式：你銷售的不是實體產品，而是「數位療法」與「智慧管理系統」，親身參與台灣醫療數位轉型的關鍵時刻。高度自主的遠端文化：我們信任團隊成員，除了重要會議外，全面採取遠端工作模式，讓你彈性規劃工作與拜訪行程。新創成長與創意發揮：我們不走傳統官僚體系，鼓勵你提出想法並參與專案策劃，從 0 到 1 規劃你的開發策略。透明的激勵機制：除了底薪，我們提供與目標掛鉤的業績獎金，你的每一分努力都會直接反應在回報上。 ▋▍Role Highlights｜職缺亮點 從「藥代」轉型「數位醫療顧問」 (Digital Health Consultant)：告別傳統醫藥業務（MR）單純送貨、跑單的工作模式。在這裡，你銷售的是最前衛的 SaaS 雲端系統與 AI 數據服務。你將成為醫療單位的「數位轉型顧問」，協助診所建立現代化的照護流程。真正的遠端工作與高度自主 (Remote-First Autonomy)：我們極度重視員工的自主性與信任文化。除了必要會議，你擁有 100% 的自由來規劃在桃竹苗地區的開發行程。我們不靠打卡來管理，而是看重你的專業產出與目標達成。打破框架的創意開發 (Creative BD Strategies)：在新創環境中，沒有死板的 SOP。你可以根據各家醫療單位的痛點，發揮創意設計出不同的合作模式。你的想法能直接轉化為專案執行，這是傳統大藥廠無法給予的實戰舞台。站在全球生技藍海的最前端 (Global Tech Trend)：數位醫療（Digital Health）是全球成長最快的產業之一。加入慧康，你累積的將是未來 10 年最具競爭力的「醫療 X 科技」跨域溝通能力，這份經歷將大幅提升你的個人專業身價。實質的社會影響力 (Meaningful Impact)：你開發的每一家合作單位，都能讓當地的慢性病友透過 App 獲得更即時的照護。你的業績數字背後，是實實在在被改善的病患生活品質與醫療效率。 ▋▍Responsibility｜主要職責市場版圖擴展：負責開發台灣桃、竹、苗地區之醫院與診所，推廣「雲端智慧照護平台」服務。客戶關係經營：深入經營既有客戶，維繫長期夥伴關係，確保平台能深度應用於醫療流程中。專案策劃執行：獨立規劃並執行業務相關專案，針對不同型態的醫療單位提出客製化合作方案。第一線洞察回饋：收集醫療單位對數位工具的實際需求與回饋，與產品團隊協作，持續優化服務體驗。目標達成與管理：達成每季業務目標，並定期透過線上會議與主管同步進度、討論解決方案。 ▋▍Media Coverage｜媒體報導 《環球生技月刊》慧康生技明掛牌興櫃 《今周刊》打造智抗糖 App 攻入慢性病平台 《數位時代》台灣新創進軍韓國 《今周刊》慧康創業背景 《天下雜誌》台灣第一數位療法

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.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.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. 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

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: 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 AQSD Engineer for Quality system development using C#, python, Delphi, Web programming like java script, react/angular/Vue framework, etc.A highly motivated individual with a background and capability to design a system to support quality management and solve Fab problems.Working with a team which may include integration, module, quality team to achieve productivity, efficiency and quality excellence.Analysis and optimize Fab quality management and delivery good solution.Be responsible for sustaining ownership such as system operations.

🤝我們的培訓期規劃 本計畫由高階主管親自帶領，透過「三大職能模組」， 在 3 個月內將你打造為即戰力幹部： Month 1 扎根期【紀律與文化】： 總部集訓 + 門店技術實習│學習企業文化、CRM 操作。 Month 2 衝刺期【績效與商業】： 門店銷售實戰 + 數據解碼│學習顧問式銷售與客訴危機處理。 Month 3 整合期【策略與佈局】： 專案實作│負責營運優化或平台拓展專案，向總經理提案。 📍工作地點： 培訓完成後，由公司安排配屬門市(台北、桃園、新竹、台中、台南、高雄)， 能配合跨區者，可享租屋補助津貼。 📆休假制度： 依公司規定(採排班制) 💡我們會提供的福利1.月薪：40,000–42,000 元（轉正後，另計管理獎金） 2.績效獎金。 3.完整教育訓練。💡培訓內容｜你會學到的核心能力1.門市營運管理 2.顧客服務與銷售能力 3.數據分析與經營判斷 4.團隊管理與領導能力

1.機台設備裝機、調機、維修等作業2. 其他主管交辦事項3. 有經驗者佳4. 可配合外地出差者尤佳5. 新竹科學園區

1. 負責國內外業務市場開發、接洽及訂單處理 。2. 負責客戶的經營管理，並與支援團隊協調配合。 3. 配合公司規劃或業務需求出差, 並參與國際商展 。

◼︎ About Kimberly-Clark Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you. At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth and impact. We’re founded on more than 150 years of market leadership, and we’re always looking for new and better ways to perform – so there’s your open door of opportunity. It’s all here for you at Kimberly-Clark.🌟 Led by Purpose. Driven by You. 我們是一家領先的民生消費品外商，專注於生產高品質的衛生紙、濕紙巾、衛生棉等日常必需品。為了培育未來的領導人才，我們誠摯邀請具備潛力、熱忱與創新思維的優秀人才，加入我們的儲備幹部計畫，擔任製程工程師，共同開創永續與卓越的未來！ ◼︎ 計畫特色 跨部門輪調學習：透過多元部門輪調，深入了解工廠的不同製造流程，涵蓋生產、品保、供應鏈、研發等領域，培養全方位的專業技能。專業導師指導：我們提供＃一對一導師制度，由資深學長姐提供專業指導，確保你在成長過程中獲得最適切的支持與建議。在職專業訓練：完整的＃技術與管理課程培訓，結合實作與理論，協助你提升製造流程管理、精益生產及數據分析等核心能力。海外學習與國際合作：我們提供＃海外進修與跨國專案合作的機會，讓你與全球專業團隊交流，拓展國際視野，掌握全球最新技術趨勢。職涯發展與晉升機會：完成計畫後，將依據你的興趣與表現，提供進一步的職涯發展機會，成為未來的部門專家或領導者。 ◼︎ 招募計畫培訓時長：24個月 (期間會輪調不同生產線) ◼︎ 我們尋找的人才 🚀 📌 學歷要求：工業工程、機械工程、化學工程、材料工程或相關科系畢業（學士/碩士）。📌技能需求：具備邏輯思維、問題解決能力，並對製造流程及數據分析有高度興趣。📌 語言能力：良好的英文溝通能力，能適應國際化工作環境。📌 人格特質：積極主動、勇於挑戰、樂於學習，並具備團隊合作精神。 ◼︎ 製程工程師職位說明 📝 通過分析、開發和實施製程改進來優化和改進產品生產過程。此職位需要與生產團隊密切合作，以提高效率、減少浪費並確保產品質量的一致性。 📌 主要職責： 製程優化：分析和改進生產過程，以提高效率、減少浪費並改善產品質量。識別瓶頸並實施解決方案以簡化操作故障排除：診斷和解決影響生產質量、效率和安全的製程相關問題。為生產團隊提供技術支持，解決日常運營問題。製程設計與開發：開發和完善新產品的製程設計。與研發、生產和品質團隊合作，確保新製程符合生產標準和客戶要求。數據分析：收集、分析和解釋製程數據，以識別趨勢、差異和改進空間。使用統計工具和方法優化生產參數並預測結果。持續改進：領導和參與旨在提高製程效率、降低成本和改善產品質量的持續改進項目。在適用的情況下實施精益生產和六西格瑪原則。製程文件：制定和維護詳細的製程文件，包括標準操作程序（SOP）、製程流程圖和控制計劃。確保所有製程變更均被準確記錄並傳達給相關團隊。品質控制：與品質控制團隊密切合作，確保所有產品符合規定的規格和標準。實施製程控制以保持一致的產品質量。培訓與支持：為生產人員提供有關新製程、設備和技術的培訓和支持。確保所有團隊成員了解製程變更和最佳實踐。健康、安全與環境合規：確保所有製程改進和生產活動符合健康、安全和環境法規。識別並減輕與製程變更相關的潛在風險。跨部門合作：與維護、生產、質量和研發團隊合作實施製程改進並解決任何生產問題。與供應商和供應商密切合作，優化材料使用和設備性能。