轉職熱搜工作
您正在找軟體專案主管的工作,共計2226筆職缺在等你,馬上去應徵吧!
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繪圖主管/ 繪圖人員( 薪水4萬元~6萬8千元.請先透過1111人力銀行投遞履歷 )
月薪 40000~68000元 新北市汐止區 3~4年工作經驗我們是一家專注於金屬建材製造的企業,提供高品質的營建鐵件和建築金屬解決方案給建築業和相關產業的客戶。我們的產品範圍涵蓋了欄杆、包板、防水閘門等,致力於為客戶提供專業的建築鋼構產品與服務。在這裡,我們追求創新、效率與品質,竭誠期待優秀人才加入我們。 工作內容: 1. 根據設計需求,繪製詳細的建築金屬建材圖(如欄杆、包板、防水閘門等)。 2. 標註材料規格、尺寸及數量,並進行材料用量計算及製造成本估算。 3. 使用專業繪圖軟體,如AutoCAD 2D/3D進行圖紙繪製及修改。 4. 確保圖紙符合相關規範標準及金屬材料加工要求。 5. 熟悉金屬結構特性及加工工藝,提供生產與設計相關技術支持。 6. 規劃並優化設計方案,解決技術問題及提高製造效率。 7. 與專業人員和客戶協調,確保設計符合專案需求及時程。 8. 定期檢查並更新技術圖紙及相關文檔管理。 歡迎您加入我們的團隊,這裡是實現您專業價值的舞台!我們期待您的加入,與我們一同打造建築金屬領域的精緻工藝和卓越技術,立即投遞履歷!展開 -
【樂多多集團】人資行政部 專員/主管 - 米其林指標/有熱情、挑戰米其林等級夥伴
月薪 43000~70000元 新北市新店區 5~6年工作經驗人資職缺綜合說明(由多人分工): 1.管理公司人員異動或資料異動 2.處理人員加、退勞健保與團保 3.人員出勤管理,輸入匯入每日出勤表,了解人員實際出勤狀況 4.協助主管製作各類表單,及提供人事行政作業流程 5.人力資源盤點並製作員工職務工作說明書 6.協助公司各部門招募 7.薪酬計算及所得稅務申報 8.員工福利計劃與執行 9.公司管理制度計畫與推動 10.行政庶務支援展開 -
自動化軟件工程師
面議(經常性薪資達4萬元或以上) 40000元 新北市土城區 工作經歷不拘1. 制定自動化設備軟件應用改進完善計畫 2. 軟件應用工作整體把控 3. 軟件功能測試、現場設備重大問題調試等技術支持 4. 專案前期參與軟件需求分析工作 5. 軟件二次開發應用展開 -
Project Manager (Software Development)
面議(經常性薪資達4萬元或以上) 40000元 台北市內湖區 3~4年工作經驗We are looking for an experienced and results-oriented Software Project Manager to oversee the planning, execution, and delivery of our complex software development initiatives. You will be the pivotal link between technical teams, stakeholders, and business objectives, ensuring projects are delivered on time, within budget, and to the required specifications. Key Responsibilities ● Planning & Execution: Define project scope, goals, and deliverables. Develop detailed project plans, timelines, resource allocation schedules, and risk management strategies. ● Team Leadership: Lead and motivate cross-functional teams (developers, designers, QA, and business analysts) through the full software development lifecycle (SDLC). ● Process Management: Drive adherence to project methodologies, focusing on Agile/Scrum practices. Conduct daily stand-ups, sprint planning, retrospectives, and backlog grooming sessions. ● Stakeholder Communication: Serve as the primary point of contact for all project communication, providing clear, frequent updates on progress, dependencies, risks, and mitigation strategies to all stakeholders. ● Risk & Issue Resolution: Proactively identify potential risks and issues, implementing effective mitigation plans to ensure project continuity and success. ● Budget & Quality Control: Monitor project budget, managing scope creep and ensuring the final product meets established quality standards and business requirements. Required Qualifications ● Experience: 3+ years of experience in project management, with a minimum of 2 years directly managing software development projects. ● Methodology Expertise: Proven mastery of Agile methodologies (Scrum, Kanban). Experience acting as a Scrum Master is highly desirable. ● Technical Acumen: Strong understanding of the software development lifecycle (SDLC), technical dependencies, and common software architecture concepts (e.g., APIs, microservices). ● Tools Proficiency: Expert use of project management tools (e.g., Jira, Trello, Asana) for tracking progress, managing backlogs, and reporting. ● Certifications: PMP (Project Management Professional) or CSM (Certified ScrumMaster) certification is highly preferred. ● Education: Degree or Diploma holder in Computer Science, Business Administration, Engineering, or a related field. If you are a talented Software Project Manager ready to drive successful development outcomes, we encourage you to apply!展開 -
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前端開發工程師-1
面議(經常性薪資達4萬元或以上) 40000元 新北市土城區 工作經歷不拘1、具有Web程式開發經驗。 2、會使用Javascript、CSS、HTML5 3、有相關前端framework經驗 ex:vue.js、flutter 4、熟悉RWD、排版、網頁架構展開 -
【AI Data Center】Product Management & Technology Architect-E事業群
面議(經常性薪資達4萬元或以上) 40000元 新北市土城區 10~11年工作經驗1.負責 AI DCIM 的整體產品路線圖設計,明確功能模組(監控、資產管理、能效優化 等)及發展階段,確保產品定位與企業戰略保持一致。 2.主導 AI DCIM 系統的技術架構規劃,涵蓋 IT(CPU/GPU/伺服器/網路/儲存等)、OT(供配電、冷卻 等)、資料層與應用層,並制定跨域整合與標準化方案。 3.持續收集與分析需求,轉化為產品功能與技術方案,協調各單位及供應商,確保需求落地與持續優化。 4.制定專案計劃,推動產品研發、測試、部署與迭代,監控交付品質,並參與用戶驗收(UAT),確保產品功能與 SLA 達成。 5.持續關注 Gartner/IDC 等國際標準與產業趨勢,推動產品在能效、永續、資安、合規等領域的差異化與競爭優勢。展開 -
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台灣電池中心- MES 技術經理(JAVA)(高雄) 2026EA003
面議(經常性薪資達4萬元或以上) 40000元 高雄市大寮區 10~11年工作經驗1. MES 系統架構完善及程式優化 (SA, SD),功能開發與效能調校 2. 培育及領導技術團隊(JAVA, C#),建立良好Code Review及開發管理制度 3. 協同跨系統整合與數據應用:ERP、MES、WMS 等核心系統的串接,並透過數據分析(如生產履歷、效率追溯)持續優化產線 4. 主導智能工廠 SOP 與操作準則的制定與推行,確保現有廠區高效且規範化運作 5. MES日常維運、異常排除展開 -
AI Project Manager/System Analyst (Data Science & AI Team)
面議(經常性薪資達4萬元或以上) 40000元 新北市土城區 5~6年工作經驗<About the job> As the AI Project Manager and System Analyst, you‘ll join the various advanced Data Science & AI Projects in the corporate headquarters. In addition to developing intelligent applications via related AI and Advanced Data Analytics Technology for digital transformation, you will have plenty of opportunities to develop emerging AI applications based on different use cases and expand your tech skillset in this world-class company. <Job Description> *Type1:AI Project Manager Manages AI-focused projects from initial planning to delivery, ensuring alignment with business goals and promoting innovation. Responsibilities include coordinating cross-functional teams, allocating and optimizing resources, and maintaining project schedules and budgets. The role requires proactive problem-solving to address project challenges and mitigate risks while driving effective communication across departments. <Qualifications> 1. Over 5 years of experience in software project management, with a strong background in Agile methodologies. 2. Highly proactive, self-motivated, and accountable. 3. Willing and able to travel internationally for approximately 1-2 months per year. <Required Skills> 1. Strong understanding of the project lifecycle, including planning, execution, monitoring, and closure. 2. Proven ability to manage project timelines, budgets, and resources effectively, ensuring projects are completed on schedule and within budget.t. 3. Ability to communicate effectively with individuals from different departments and roles and coordinate resources. 4. Strong analytical and problem-solving skills, with the ability to swiftly assess complex issues and implement solutions. 5. Mastery of Microsoft Office programs (Word, Excel, PowerPoint) (Nice to have, but not necessary) 1. Familiarity with manufacturing processes 2. Possession of project management certifications such as PMP or Scrum. 3. Intermediate or above English proficiency in listening, speaking, reading, and writing. *Type 2:AI System Analyst Responsible for gathering and analyzing the requirements and contributing to designing, developing, testing, and deploying in all phases of the AI system development project lifecycle, as below: 1. Collaborate with business data analysts to analyze user requirements and ensure that requirements and acceptance criteria satisfy user needs. 2. Create a system requirement specification to elaborate on system design, system components/interfaces, and data schema. 3. Work with the multi-functional engineering team(e.g., data scientist, AI/ML engineer, data engineer, AI software engineer..., etc.) to ensure technical feasibility. 4. Drive usability and quality of the AI system developed and ensure all system requirements are well implemented. 5. Work on various enterprise AI system applications and problems, and analyze issues to identify root causes and prevention. 6. Create the Wireframes(or UI Prototypes) for AI system feature discussion with users and provide them to the UI/UX design team. 7. Author and update internal documentation; initiate and deliver requirement specification and system analysis/system design documentation. <Required Skills> 1. Practical experience in requirements gathering and analysis and change management 2. Experience co-working with front-end and back-end system development teams. 3. Strong analytical, verbal, and written communication, teamwork, and highly collaborative skills. 4. Experience with Microsoft Visio, Axure RP(or other wireframe tools). 5. Mastery of Microsoft Office programs (Word, Excel, PowerPoint) (Nice to have, but not necessary) 1. Mastery of QA methodology and problem-solving tools/techniques in software engineering. 2. Knowledge of AI/Data Science Tech(e.g., Machine Learning, Deep Learning, Statistics, Quantitative modeling techniques). 3. Practical experience in Relational DB (e.g., MS SQL, PostgreSQL) and ability to write SQL queries.展開
