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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.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. 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. 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.

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.

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, Xinguang Village, 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 with 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.

【工作內容】 職務性質：全職 需求人數：5人 職類：儲備幹部 職位介紹： 儲備幹部──未來的店長，馬修嚴選重要營業幹部，門市成功運作的關鍵推手。公司與門市的溝通橋樑，經營管理至少1家門市。教育訓練期間須經門市歷練至少1年，紮實的基礎訓練是成為傑出店長的必經過程；未來可繼續晉升營業單位高階主管。 夥伴招募需求： 良好溝通與協調力能獨立完成銷售計劃與執行談判技巧與建立團隊能力財務分析能力 工作內容： 顧客服務與產品銷售：熟悉、介紹及銷售門市商品、了解及探詢消費者的需求並給予專業建議、須具有服務的親和力及應變力、顧客訴願處理、開發客源及顧客關係管理。店務相關作業：維持門市、專櫃環境週遭之整潔、確保每位門市人員依SOP要求完成各項店務作業、提出SOP之優化建議、商品進貨、調貨及庫存管理、配合公司政策調整商品陳列及換檔工作、門市營運設備維護、報修。門市營運管理：人員招募、考勤管理、新進人員教育訓練及考核、制定同事個人目標以達成公司每月目標、製作每月營運績效分析報告並提出具體改善方案、提升在職人員專業技能、管理、優化門市營運狀況、推廣行銷。 工作待遇：面議 上班地點：依照公司指定調動全台工作地點 管理責任：需負擔管理責任，且直接管理人數約 4 人以下 出差外派：需外派，一年但累積時間未定 上班時段：輪班制 (日班、晚班、假日班；門市營業時間：11:00~21:00) 休假制度：輪休制 (每四周 8 天例假日及休息日；國定假日另計) 可上班日：不限 歡迎身分：應屆畢業生、原住民、二度就業、中高齡 【工作條件】 工作經驗：2年以上 學歷要求：不拘 科系要求：不拘 語文條件：台語 (中等)、英文 (略懂) 擅長工具：Word、PowerPoint、Excel、Outlook

1.影音行銷企劃2.影音/拍攝/剪輯製作3.影音專案相關之視覺設計4.影片企劃提案成效分析與數據報表整理與報告(追蹤影音成效並提出優化建議)5.各社群平台之影音經營與規劃(Youtube、IG、tiktok、FB、Threads、podcast)