轉職熱搜工作

協助研發電子電路設計、PCB Layout 審核與初步 BOM 產出；參與新產品開機測試與電性效能數據採集工作。配合資深工程師分析製程良率問題與硬體失效分析 (FA)，學習如何追蹤並改善伺服器或車載電子的電性設計缺陷，並建立測試基準文件。 Assist in electronic circuit design, PCB layout review, and initial BOM creation. Participate in power-on testing and electrical performance data collection. Collaborate with engineers to analyze yield issues and perform failure analysis (FA). Learn to track and improve design defects for servers or automotive electronics.

1. 執行工程採購系統規範與規章落實 2. 執行工程採購一線審查 3. 執行各地工程進度追蹤、工程風險控制與工程爭議協調等要項跟蹤及報告 4. 執行工程預算編制與造價平台資訊更新 5. 配合工程採購處專案作業文件和數據資料建檔、梳理、分析報告等工作

1.需求釐清與轉化： 釐清客戶對於 AI DC 空間與結構的特殊架構指標（如：大跨度樓棟空間設計、高密度結構承載力、基礎防震與特種抗震等），並精確轉化為工程需求傳遞給 EPC 團隊。 2.招投標與發包技術支持： 參與土建工程標案之技術規範書（SOW）編製，參與評標會議，並實質審查承包商的施工計畫、機具與技術實力。

1.負責印度9廠區及其相關子公司網路專案規劃、設備的管理及日常運維。 2.新建廠房網通工程，制定專案計劃，分配資源，跟蹤進度並確保按時交付。 3.負責規劃與實施跨國企業網路架構，確保高效性與穩定性。 4.設計並優化企業的 WAN、LAN、Wi-Fi 和雲端整合網路。 5.協調多地團隊協作，領導並執行企業級網路架構設計與部署。

1. 主導機器人關節之系統架構設計，定義核心零組件（馬達、驅動器、編碼器）之 規格與選型標準。 2. 評估與選外部供應商產品，進行技術可行性分析、對接與性能測試驗證。 3. 負責採購組件與自研模組之通訊介面整合、控制演算法調校與系統測試。 4. 從0到1建立關節模組進貨檢驗規範(IQC)、測試SOP與產品規格書(PRD)。 5. 協助採購與供應鏈團隊進行外部廠商技術評估與產品優化溝通。

一、產線管理 1. 依生產計畫安排人力、物料與設備，確保達成產量與交期。 2. 即時處理產線異常（人、機、料、法、環），確保生產不中斷。 3. 推動生產效率改善與工時分析，降低成本。 二、品質管理 1. 確保作業依標準流程（SOP）執行，防止異常流出。 2. 追蹤品質不良原因，與品保/工程部門協力改善。 3. 強化現場品質意識與教育訓練。 三、現場管理 1. 維持5S（整理、整頓、清掃、清潔、素養）及安全生產環境。 2. 督導作業員遵守紀律、安全規範與標準作業。 3. 監控機台稼動率與產能利用率。 四、部門協調與行政 1. 與工程、品保、物控、倉儲協調以確保順暢生產。 2. 管理班組考勤、績效、教育訓練與人員培育。 3. 編制與執行生產報表、異常報告、改善提案。

＜About the Job＞ As an Optimization Data Scientist, you will play a key role in driving Optimization and Operations Research initiatives across critical business functions, including supply chain, production planning and scheduling, capacity allocation, inventory and logistics, industrial engineering, and financial performance. Leveraging advanced mathematical modeling and algorithm design, you will transform complex data into actionable insights, enabling smarter decisions and unlocking optimization-driven business value. ＜Job Responsibilities＞ ．Design, implement and refine advanced Mathematical Programming / Operations Research / Meta-heuristics / Numerical Simulation / Optimization Algorithm Models (at least one of the fields). ．Ensure alignment of optimization initiatives with the requirement goal defined by key stakeholders and company objectives and identify new formulations or decomposition strategies for model improvements. ．Executing large-scale optimization projects, including problem formulation, constraint engineering, model building, algorithm development, solver tuning, and deployment, etc. ．Works closely with a team of project manager, data scientist, business data analyst, data engineer, supply chain / IE / PMC domain expert, etc. ．Collaborate effectively with team members, whether leading tasks or supporting initiatives led by others. ．Self-motivated, Result-oriented, and interested in applying quantitative & optimization methods to solving real-world supply chain, manufacturing, and engineering problems. ＜Skills＞ ．Experience with any one of Mixed Integer Programming (MILP), Linear Programming (LP), Non-linear Programming (NLP), Constraint Programming (CP), Meta-heuristics (GA / SA / Tabu Search / ALNS…), Stochastic / Robust Optimization, Numerical Simulation…, etc., model/algorithm building of the practical application in the industry. ．Hands-on experience with commercial or open-source solvers such as Gurobi, Cplex, OR-Tools, or SCIP. ．Familiarity with programming languages like Python or C++ or Java. ．Advanced ability to perform problem decomposition, constraint analysis, and working knowledge of operations research theory. ．Ability to visualize optimization results, KPI trade-offs, and solver behavior (e.g., gap convergence, IIS diagnostics) in the most effective way possible for a given task, especially debug and troubleshoot infeasible / unbounded models. ＜Minimum Qualifications＞： ．2+ years of professional experience with a degree of Ph.D. / Ph.D. Candidate, or 3+ years of relevant working experience with a degree of Master. ．Major in Industrial Engineering / Operations Research / Computer Science / Information Engineering / Information Management / Applied Mathematics / Supply Chain Management or related quantitative discipline (such as in a field where there is intensive training in quantitative & optimization methods, e.g., Operations Research, Industrial Engineering, Management Science, Transportation, Logistics, Statistics, Economics, Electrical and Computer Engineering, Physics).

1.組織日常運營管理: 組織建設、培訓、工作佈達及考核, 確保工作按照規劃100％完成 2.人力需求評估與規劃, 招募評估及風險因應, 人員管理及KPI提升改善 3.負責新產品試產方案評估、驗證規劃、新設計驗證改善 4.維修分析團隊建設，人力佈局與Local接班梯隊培養 5.維修方法驗證導入與良率提升改善

1,對維修區周邊整體KPI負總責; 2.維修內部生產排配; 3.維修生產主板、物料賬務管控; 4.維修人力規劃及招募追蹤; 5.維修相關外部門溝通協調.