- 月薪37000元 新竹縣新埔鎮 1年工作經驗 1天前更新展開
1. ISO系統規定確認與執行，內、外部稽核相關業務執行。 2. 能源管理(紀錄數據分析與統整，持續性觀察變化提出建議改善方案)。 3. 配合ESG報告書、探盤查需求資料彙整資料並提供。 4. 工務單位備品管理、特定儀器校堰管理、廠區設備維護之合約管理。 5. 工廠安全與消防安全網路申報作業。 6. 輪班工作支援與其他主管交辦事項(非常態性工作)。
員工聚餐尾牙家庭日員工結婚補助生育補助 - 面議（經常性薪資達4萬元或以上） 新北市土城區 3年工作經驗 3天前更新展開
Work with ID/MD/HW/SW team for Acoustic related design, testing, fine tune, certification, and customer acceptance; including RFQ review, Test plan buildup, ID/MD/HW/SW Design review (acoustic related items), Voice quality Verification, Voice quality fine tune, and MFG line test setup.
- 面議（經常性薪資達4萬元或以上） 新北市土城區 工作經歷不拘 3天前更新展開
1. 負責雲端平台的架構設計與開發實現，支撐端雲一體化整合方案的技術落地，保障雲端系統與終端設備的高效協同及穩定運行。 2. 參與慢病管理平台、醫院HIS系統數據通道等基礎架構的雲端技術搭建，設計並實現FHIR協議數據互通的雲端解決方案，確保全場景數據流暢傳輸與交互。 3. 基於客戶需求，進行雲端系統的定制化開發與優化，參與解決方案及系統設計說明書中雲端部分的編寫，明確雲端應用與設備端產品的整合邏輯。 4. 與FAE、業務團隊協作，理解客戶在端雲項目各階段的雲端需求及問題，參與解決方案的討論與制定，跟進雲端功能的開發與交付進度。 5. 制定雲端平台的交付規格，明確技術標準與FHIR&DICOM協議接口規範，確保雲端系統交付符合客戶預期，同時配合項目團隊完成雲端部署的技術支持。 6. 編寫雲端開發相關的技術文件，包括微服務架構設計、接口說明、開發指南及TFDA相關資安文件，參與客戶的雲端解決方案簡報，根據反饋調整雲端技術方案。
- 面議（經常性薪資達4萬元或以上） 東南亞越南 2年工作經驗 3天前更新展開
1. Lead the PM team, covering both NPI and sustaining projects. 2. Take lead projects from RFQ through NPI and MP stages until end of life. 3. Forecast/demand tracking, capacity, material preparation, and resource planning. 4. Manage AVL and ECN monitoring and implementation. 5. Conduct project risk analysis and resolve issues. 6. Drive cost management and cost reduction initiatives. 7. Coordinate with customers on NPI and MP project status as well as shipping plans.
- 面議（經常性薪資達4萬元或以上） 高雄市前鎮區 5年工作經驗 3天前更新展開
We are seeking a software project manager to join our development team. In this role, you will be responsible for the following tasks: 1. Project Planning & Management - Define project plans, schedules, and resource allocation. - Track project progress to ensure on-time delivery and quality. - Identify risks and work with the team to resolve potential issues. 2.Cross-functional Coordination -Collaborate with development, QA, UI/UX, DevOps, and other teams. -Act as the bridge between clients, business stakeholders, and the engineering team. -Requirement Management 3.Gather, analyze, and confirm requirements, and draft Project Requirement Documents. -Help stakeholders define features and prioritize the product roadmap. -Quality, Delivery & Issue Tracking -Monitor milestones and deliverables to ensure quality standards. -Track bug issues, assign ownership, and follow up on resolution to ensure timely fixes and product reliability. 4.Reporting & Communication-Provide regular project status reports to leadership and stakeholders. -Perform system function demos to leadership and stakeholders to showcase progress. -Draft, review, and maintain user manuals and operational documentation to support end-users. 5.Administrative Support -Assist in internal administrative processes, including form creation and submission. -Handle expense applications and reimbursement requests. -Support supervisors with preparing presentations, documents, and reports. ## Requirements: - 5+ years of experience in software or technology companies. - 2+ years of experience as project or product manager. - TOEIC 800 or higher level. - Excellent communication skills in Mandarin and English. - Quick learner of new knowledge.
- 面議（經常性薪資達4萬元或以上） 新北市土城區 工作經歷不拘 3天前更新展開
1. AI PC MCU韌體(Embedded Controller)/FreeRTOS 程式開發、更新、維護 2. AI PC MCU韌體(Embedded Controller)/FreeRTOS 研發時程及可行性評估 3. AI PC MCU韌體(Embedded Controller)/FreeRTOS 規格的review與分析 4. 專案執行與相關功能團隊合作 5. 良好的溝通協調能力 6. 具備產品分析與問題解決能力 7. 對工作具備熱誠 8. 具備邏輯思考能力與抗壓性
- 面議（經常性薪資達4萬元或以上） 新北市土城區 工作經歷不拘 3天前更新展開
＜About the Job＞ We are looking for a highly motivated and skilled AI Infrastructure Engineer with strong hands-on experience in Kubernetes (K8s), particularly in supporting AI/ML workflows. In this role, you will be instrumental in designing, implementing, and maintaining robust, scalable, and high-performance Kubernetes-based infrastructure that supports the entire lifecycle of our AI applications—from data processing and model training to deployment and monitoring. You will work closely with data scientists, AI/ML engineers, and DevOps teams to ensure seamless integration of AI/ML workloads within cloud-native environments. The ideal candidate has a deep understanding of container orchestration, distributed systems, and MLOps practices, and is passionate about building efficient, reliable platforms that enable rapid AI innovation. This is a unique opportunity to work at the intersection of AI and cloud infrastructure, contributing to next-generation systems that power intelligent applications at scale. ＜Job Responsibilities＞ ．Design & Architecture: Design, build, and scale a reliable and efficient Kubernetes platform optimized for AI/ML workloads. This includes provisioning GPUs, managing resources, and ensuring optimal performance for computationally intensive tasks. ．Infrastructure Management: Manage the entire Kubernetes cluster lifecycle—from provisioning and configuration to ongoing maintenance, monitoring, and troubleshooting, ensuring high availability and scalability. ．Deployment & Automation: Develop and implement CI/CD pipelines to automate the deployment, scaling, and updating of machine learning models and AI services. Ensure seamless integration with AI tools like Kubeflow, MLflow, and Argo Workflows. ．Performance Optimization: Continuously monitor and optimize system performance, focusing on resource utilization, latency reduction, and improving the overall efficiency of AI workloads. Ensure high availability and minimal downtime for AI services. ．Collaboration & Guidance: Work closely with data scientists, ML engineers, and cross-functional teams to understand their infrastructure requirements and provide technical solutions to meet workload demands effectively. ．Security & Compliance: Implement best practices for cluster security, including network policies, access controls, and vulnerability management to safeguard sensitive data and maintain compliance. ．Cost & Resource Efficiency: Manage resources effectively to optimize cost while maintaining high-performance infrastructure for AI model training, inference, and data processing. ＜Skills & Qualifications＞ ．Kubernetes Expertise: You should have hands-on experience with Kubernetes (K8s) architecture, including deploying applications, managing resources, and troubleshooting complex cluster issues in a production environment. ．Containerization & Linux Environment: Strong knowledge of container technologies such as Docker, along with hands-on experience in Linux environments. Expertise in container orchestration and deployment practices is highly valued. ．AI Workloads: Deep understanding of GPU scheduling and performance optimization, including strategies for resource allocation, workload balancing, and maximizing throughput for AI/ML tasks. ．Automation & CI/CD: You need practical experience with building and managing CI/CD pipelines using tools like GitLab CI, Jenkins, GitHub Actions, or ArgoCD to automate deployments. ．Programming & Scripting: Proficiency in at least one scripting language (e.g., Python, Bash) is a must. ．Networking: Knowledge of container networking and service mesh technologies (e.g., Istio, Linkerd) is highly desirable and a great advantage.
- 面議（經常性薪資達4萬元或以上） 新竹市 3年工作經驗 25天前更新展開
【本職缺僅接受台積電官方網站投遞】 請至台積電官方網站投遞個人履歷表，此職缺履歷登錄網址: https://careers.tsmc.com/careers/JobDetail?jobId=17108&source=1111 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 Global Mobility Specialist drives the company‘s international assignment and relocation processes, ensuring smooth operations and compliance with global tax, social security, and immigration regulations. This role involves providing strategic guidance to support stakeholders, tracking assignment progress, and fostering collaboration across departments and vendors to achieve operational excellence. We seek candidates with exceptional communication skills, a proactive mindset, and the ability to handle sensitive situations with composure and problem-solving expertise. If you have at least three years of relevant experience, knowledge in relocation case management, and a strong understanding of global compliance, this is your chance to make a meaningful impact while showcasing your expertise! Responsibilities: 1. Manage daily operations of end-to-end relocation for International Assignment, whilst ensuring in compliance with global tax, social security, and immigration legislations 2. Provide guidance / advice / relocation cost projections to respective stakeholders (both HR and Business) on applying Mobility Policies / packages for any potential international move 3. Act as first point of contact for stakeholders at all levels (HR / Business / Assignees) to consult mobility-related questions 4. Provide reporting to respective Regional HR and maintain an effective tracking of International Assignment movement 5. Work with finance / Regional HR and other key stakeholders to support payment / expense management process takes place as agreed by the home and host business 6. Identify, review, and improve existing mobility operation process to drive best solutions and drive efficiency / effectiveness for stakeholders 7. Collaborate with relocation vendors / Regional HR to drive successful employee communication on relocation (both mass and individual) Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace allows us to create an environment where every employee, regardless of gender, age, disability, religion, race, ethnicity, nationality, political affiliation, or sexual orientation, can bring their unique perspective and experiences to work, enabling us to drive profitability, increase productivity, and unleash innovation. We strive to create a workplace that is equitable and accessible to all employees. We are committed to fostering an inclusive culture where every employee feels valued and empowered to contribute to our mission and provide excellent service to our global customers.
- 月薪34500~40000元 桃園市蘆竹區 工作經歷不拘 3天前更新展開
薪資獎金有保障，安心練功挑戰百萬年薪！ Ÿ 新人前3個月月薪保障 40,000 元以上！ Ÿ 正式上線後，依業績享高額獎金，表現優秀者，月薪上看8萬，年薪突破百萬 管家百萬年薪 為自己家入美好! ★紮實專業培訓 導師團隊陪跑 提供穩定客源 創百萬薪美好~~ 若您熱愛服務與銷售，能在輕鬆的言談中創造業績、挑戰百萬年薪，這裡就是您的舞台！ 我們提供完整的培訓計畫，學習DIY知識與專業技能，透過修繕服務接單與商品銷售，為顧客創造美好居家生活，讓您實現年薪百萬夢想~~ 每月薪資月薪包含交通津貼1,500元，結訓後每月享高額業績獎金 ，結訓後每月另享高額業績獎金 1.丈量接單與報價服務。 2.陪同師傅進行入宅安裝服務，提供顧客親切諮詢。 3.針對有需求顧客提供居家健檢、商品與裝修建議。 4.熱愛居家修繕，透過提供修繕諮詢，帶給社區住戶更好的居家生活。 5.樂於分享門市消費資訊，找回舊客戶來門市購物，增加社區新會員。 6.喜歡與顧客接觸並建立經營關係
員工團保員工結婚補助生育補助員工購物優惠員工在職教育訓練 - 面議（經常性薪資達4萬元或以上） 新北市泰山區 1年工作經驗 5天前更新展開
(1)按照專案時程，規劃研發單位間設計資料傳遞計畫及跟催。 (2)協助聯繫公司各部門需求，協助按公司規範確保產品符合客戶需求。 『具工作經驗者，薪資另議』
員工電影國內旅遊員工聚餐尾牙家庭日 - 面議（經常性薪資達4萬元或以上） 桃園市大園區 工作經歷不拘 4天前更新展開
[工作內容] 1.Sample產品分析及量產導入 2.Sample產品異常處理及進度追蹤 3.主管交辦事項 [職務需求] 1.具PCB產業相關經驗 2.大學(含)以上，化學、化工、材料、機械、電機等理工相關科系畢 [班別制度] 1.常日班(無需輪班) 2.上班時間：08:00-17:00 (1)午休時間12:00-13:00 (2)工間休息上午、下午各10分鐘 [薪資福利] 1.年終獎金近三年(2024-2026)平均每年發放8.5個月(未滿一年依在職比例發放) 2.年中員工紅利、年底福利金發放 3.三節禮券、生日禮券 4.公司免費供餐 5.備有員工汽機車停車場 6.提供外縣市同仁免費單人套房宿舍
員工在職教育訓練員工生日禮金員工團保上下班交通車員工宿舍 - 月薪36500元 新北市樹林區 工作經歷不拘 3天前更新展開
一、資格條件: 1.相關科技大學、技術學院大學部或專科部，化學、化工、材料、醫學、醫學檢驗、醫學工程、生命科學、生物學、醫療資訊等相關科系畢業。 2.需熟悉基本電腦軟體應用。 3.有醫療器材廠工作經驗者尤佳。 4.有研發、實驗室、品檢經驗者尤佳。 二、工作性質:產品研發、製程條件建立、改善及配方研究。 三、工作時間:常日班08:00-17:00 四、薪資福利:36,500元〜39,000元。 五、休假方式:周休二日 六、應徵方式： (一)請於7月21日前，至台塑企業人才招募網登入(網址:https://hr.fpg.com.tw)並填妥個人基本資料、學經歷、自傳(含身分證、畢業證書、在學成績單)等內容後，進行履歷投遞(請於「關鍵字搜尋」欄位輸入現場技術員)。 (二)合適者約試將依求職者適性分派工作內容，不合者恕不退件(應徵人員所提供之上述資料，僅供本公司執行招募作業使用，依個資法不得他用並屆期銷毀)；應徵人員所提供之個人資料造假不實本公司將取消錄取資格或予以免職，且管制禁止入廠，如涉及刑責者，並將移送法辦。 (三)應徵者洽詢電話:樹林管理課 范小姐：02-26806311分機 2201 (T1專線412-2201)。 台北管理處 周先生：03-3284191 分機191或(T1專線415-191)。
治裝費或兌換券國內、外旅遊補助需穿著員工制服員工在職教育訓練良好升遷制度 -
