成大專區

1.系統整合測試： 執行Server整機功能驗證，確保 BIOS、BMC、FPGA 與周邊裝置(NIC, RAID, NVMe, GPU)之相容性與穩定度。 2.OS與驅動程式驗證： 驗證主流作業系統(Ubuntu, RedHat, Windows Server)在不同Kernel版本下的驅動程式相容性，並維護Driver List Baseline。 3.問題除錯與分析： -針對測試中發生的System Hang、Crash、Kernel Panic進行第一線除錯。 -利用Log分析工具(dmesg, SEL, SOL, UART log)釐清問題根源(HW/FW/OS Issue)。 4.Bug追蹤與協作： 撰寫精確的Issue Report，協助RD複製問題並驗證解決方案。 5.測試環境維護： 架設並維護PXE Server、Console Redirect等測試基礎設施。

1. 帶領專案團隊人員共同達成專案目標 2. 新產品開發專案規劃，時程管理，並統籌各研發部門工作、跨部門溝通協調 3. 產品量產導入：含生產計畫、物料準確性到試產、生產期程等 4. 產品開發驗証作業評估及執行與技術文件之撰寫

1. Responsible for handling RFQ/RFI and NPI phase or MP phase quotations, logistics planning, and resolving unexpected issues to ensure schedule adherence. 2. Collaborate with cross-functional teams to ensure timely transition of projects into mass production. 3. Build and maintain strong working relationships with customers. 4. Review operational processes and identify optimal solutions to improve efficiency. 5. Track and analyze improvement opportunities through weekly reviews. 6.Prepare and deliver customized sales presentations tailored to specific client needs. ※依學經歷、工作年資敘薪

【AITE】伺服器Diag開發工程師（BMC/BIOS/HW） 工作內容： AITE(Automation Infrastructure and Tools Engineering) team: provide automation & tools solution to support server design, validation and MFG production. (1) BMC/BIOS/HW/performance test tools and automation (2) MFG L6/L10/L11 etc. test solution (3) Automation test platform development 此職位主要使用 Python 進行 BMC/BIOS/HW 測試案例自動化。 ※依學經歷、工作年資敘薪 CS or EE Master/Bachelor with 0~3 years experience (工A) CS or EE Master/Bachelor ＞ 3 years experience (高工級) CS or EE Master/Bachelor ＞ 5 years experience (課長級)

1.車用電子產品客戶開發與業務拓展 2.車用電子產品市場分析及行銷策略規劃 3.善於跨部門溝通，負責客戶與研發團隊之專案執行

NB電機模組類採購管理工作(EM Sourcing): 熟散熱模組, 線材, 連接器,影像聲學模組,etc (1)NB 模組類材料成本估算。 (2)製程開發/導入。 (3)供應鏈開發與管理。 (4)產業分析, 原物料與價格趨勢。 ※依學經歷、工作年資敘薪

1. 零件採購 2. 供應鏈管理 3. 原料成本談判及規劃產能 4. 跨職能及部門合作，與Buyers, R&D, sales, PM...等協作 ※依學經歷、工作年資敘薪

About the role: The AI/ML Test Engineer is responsible for verifying and validating embedded software used in automotive systems. This role ensures that software meets functional, performance, safety, and quality requirements across all stages of the development lifecycle. The position requires strong knowledge of software/machine learning testing methodologies, automotive systems, and embedded software, along with hands-on experience in software test execution and automation. Key Responsibilities: • Design, develop, and execute test cases based on algorithm and machine learning system requirements using Python. • Thermal algorithm and model performance testing: test the object detection model like detection of pedestrians, cyclists and wildlife during harsh environmental conditions, validate that thermal noise sources do not trigger false collision warnings or phantom braking, evaluate model performance under stress conditions or lens occlusion. • Configure and maintain test environments, mainly Software-in-the-Loop and Hardware-in-the-Loop setups. • Identify, document, and track defects; support root-cause analysis and collaborate with development teams for resolution. • Ensure full traceability between requirements, test cases, and results; support audits, reviews, and compliance with ASPICE, SOTIF and ISO 26262.

Key Responsibilities: • Lead V&V teams across software, hardware, and system domains. • Coordinate test activities with design, development, quality, and customer teams. • Creation of specifications and tests for the AI module, including integration test and system test • Define V&V milestones aligned with project timelines and product releases. • Support audits and assessments (ASPICE, ISO 26262, OEM-specific processes). • Develop and maintain test strategy, test plans, and test specifications. • Define validation environments (HiL, SiL, vehicle test, test benches, simulation). • Ensure traceability between requirements, test cases, and results. • Oversee execution of unit, integration, system, and acceptance testing. • Approve test procedures and ensure correct usage of test tools and equipment. • Review test results, analyze defects, and drive corrective actions. • Ensure proper documentation for compliance and release readiness. • Oversee the validation of AI and Vision models, evaluating their accuracy, robustness, and performance metrics. • Establish standardized validation workflows by developing automated scripts for vision-related testing and data analysis. • Provide actionable optimization recommendations to the development team based on empirical test results and performance analysis. • Ensure alignment with automotive standards such as: ASPICE (Automotive SPICE), ISO 26262 (Functional Safety), ISO 21448 (SOTIF), OEM-specific requirements (Toyota, Honda, VW, GM, etc.) • Build and lead a V&V team of 4 members, defining clear testing lifecycles, bug tracking standards, and reporting protocols for AI-driven products.

1.Manage end-to-end order fulfillment (forecast, MPS/DPS, sales orders, on-time shipment). 2.Lead capacity planning to ensure production line readiness and delivery commitment. 3.Optimize inventory performance (stock level, DSI, WIP, turnover, SLM, OBS, aging control). 4.Act as the key interface across Sales, Production, and Supply Chain to ensure fast response and high customer satisfaction. 5.Drive quarterly QBR performance improvement to support sales growth and order acquisition. 6.Coordinate cross-functionally to resolve issues and execute continuous improvement initiatives. 7.Perform other related duties as assigned.

1. Warehouse operation and management (including receiving, storing, picking, and issuing materials and finished goods) 2. Manage inbound/outbound materials/goods and kitting processes 3. Complete the material preparation for work orders on time 4. Manage inventory with SLM (Safety - Lead - Min) 5. Implement warehouse FIFO (First - In, First - Out) management 6. Lead the annual manufacturing inventory and ensure accurate inventory records 7. Monitor and maintain proper storage conditions for sensitive electronic components (e.g., humidity and ESD controls). 8. Implement and enforce warehouse safety protocols and 5S standards. 9. Use ERP/WMS systems to manage stock transactions and generate reports. 10. Train and lead warehouse staff to ensure high performance and efficiency. 11. Handle non-conforming materials, returns, and scrap procedures in accordance with company policies. 12. Optimize warehouse layout for space efficiency and productivity. 13. Cultivate personnel capabilities 14. Performs other related duties as assigned.

1. 依照生產計畫，管理採購交期，依照時程追蹤出貨，符合出貨排程達成生產目標。 2. 帶領團隊成員採購料件進貨及庫存準備，異常問題及呆滯料品處理。 3. 評估並分析採購成本，制定採購訂單計畫，降低耗損貨品風險。 4. 跨部門跟催及回覆採購訂單，協助處理衝突關鍵，使生產排程取得共識。 5. 引導團隊朝向目標工作，給予採購交期及工作排程上的具體回饋及改善方針。 ※依學經歷、工作年資敘薪

1.與顧問搭配,參與AI use case 的專案。 2.AI Agent 技術研究與應用開發。 3.串接既有AI技術，建置AI服務，並能掌握問題關鍵，提出可行的解決方案。 4.維運現有AI 專案系統,持續管理與優化。 ※依學經歷、工作年資敘薪

1. 協助專案用戶將業務需求轉化為可落地的 AI 解決方案。 2. 提供準確可靠的數據預測與解決方案，支持業務決策。 3. 應用統計分析、機器學習、深度學習、模擬與最佳化等方法，進行數據建模與分析。 4. 持續追蹤並評估最新 AI 技術，將尖端技術應用於實際營運場景中，解決痛點並提升效益。 5. 負責大型語言模型（LLM）的應用、訓練與優化，並熟悉雲端與地端部署環境。 1. Translate business requirements into practical AI solutions in collaboration with project stakeholders. 2. Deliver accurate and reliable data predictions and solutions to support decision-making. 3. Apply statistical analysis, machine learning, deep learning, simulation, and optimization methods for data modeling and analysis. 4. Stay up to date with the latest AI technologies and integrate cutting-edge methods into business processes to solve real-world challenges. 5. Develop, fine-tune, and deploy LLMs, with experience in both cloud-based and on-premises environments. ※依學經歷、工作年資敘薪

1.AI 模型應用、訓練與微調，熟悉雲端/地端與LLM 操作及應用。 2.了解使用大型語言模型進行訓練和微調。包括選擇合適的數據集、設計訓練流程，以及調整模型參數以達到最佳性能。資料科學家需具備使用框架如TensorFlow來實現這些過程的能力，並能夠針對特定任務優化LLM。 3.資料建模與分析，建立和訓練機器學習模型，選擇適當的算法進行數據分析，並從中提取有價值的見解。 4.持續監控與優化，監控模型性能，根據新數據進行調整和優化，以提高預測準確性和商業價值。 ※依學經歷、工作年資敘薪

1.熟悉數據資料倉儲與數據湖概念，進行數據清洗、資料整備等相關數據轉換與整合。 2.熟悉數據工程的ETL流程，處理數據開發、自動化、測試、監控、佈署等相關技術解決方案。 3.規劃與建置與維護資料治理平台負責並管理維護資料治理平台 4.維運和規劃大數據處理系統，以確保日常數據的運作品質之傳輸性、高效性和準確性。 5.與團隊合作，檢視數據存儲和數據架構的設計和維護，確保數據的安全性和可擴展性。 6.與團隊合作，以確保數據分析的準確性和可靠度。 7.數據系統包含雲端與地端技術。 ※依學經歷、工作年資敘薪

【職務內容】 與仁寶AI Team建立與維護MLOps流程 ( ML + DevOps ) ，歡迎挑戰： 建置與維護 機器學習、深度學習、數據分析等 AI應用資料流工程 規劃設計以AI為核心的數據架構平台，例如AI K8S Platform建置與維護 與資料科學合作將模型上線應用並持續優化運算效能，不斷提升使用者體驗與產生經濟價值 ※依學經歷、工作年資敘薪

1.建構及維護商業智慧平台與數位化流程架構。 2.負責 BI 系統的導入，整合 BI 數據分析及維護管理。 3.進行 ETL 資料處理，並處理 Web 系統的整合與開發需求。 4.使用者需求訪談與系統分析，撰寫相關技術文件。 5.與跨功能團隊合作進行平台管理，解決技術問題，確保平台穩定運行。 6.協助研究 BI 平台新功能與技術趨勢，提出改進建議及專業報告。

1.使用 React.js / Next.js 開發和維護網頁應用程式。 2.依據需求討論，將設計圖轉換成網頁介面。 3.與後端工程師協作，實現 API 整合。 4.與後端開發人員和設計團隊協作。 ※依學經歷、工作年資敘薪

1.設計、實施和管理企業基礎設施，並根據業務需求優化企業資源。 2.監控和排除系統環境中的問題，確保可用性、問題排除。 3.實施自動化工具以提高資源管理效率。 4.與開發和運維團隊協作，實現集成解決方案並持續改進系統架構。 5.管理平台需求規劃、架構設計、成本控管。 ※依學經歷、工作年資敘薪