「RD主管」的相似工作

加入我們，一起推動數位轉型與研發突破，讓台灣的技術實力站上國際舞台，成為公司產品競爭力的核心推手！ 【角色定位/工作職務】 1.領導研發團隊，負責產品開發、功能改良與技術創新，推動數位轉型相關專案以強化產品競爭力。 2.建立並優化研發流程與標準作業規範（SOP），導入數位工具與自動化系統提升研發效率與品質。 3.指導與培育研發團隊人才，強化數位技能與跨領域整合能力，提升整體技術水平與問題解決能力。 4.定期彙報研發成果與專案進展，提供數位轉型項目提供技術洞察與策略建議，協助高層決策。 5.掌握產業技術發展趨勢，進行新技術評估與可行性分析，引進創新解決方案支援企業數位轉型。 【具備的條件】 1.機械相關科系，專科、大學以上學歷。 2.10 年以上相關工作經驗。 3.5 年以上產品研發或技術相關經驗，並具 5 年以上研發團隊管理經驗。 4.熟悉產品開發流程與專案管理方法，具備完整從設計到量產的實務經驗。 5.擁有優秀的技術判斷能力、創新思維及跨部門溝通協調能力。 【加入我們的理由】 參與從產品構想到落地量產的全流程，成就感與影響力並存。 積極推動創新與數位化，給予團隊發揮創意與試驗新技術的空間。 穩健團隊文化，強調「做事有方法、做人有溫度」，讓你專注發揮專業。 加入競泰，讓世界看見你的技術力量！ 在這裡，你不只是研發產品，而是推動產業升級與數位轉型的重要關鍵！

1. 主導公司核心產品（高效能記憶體模組、PCIe Gen5 SSD、攝影儲存解決方案）的研發策略與執行。 2. 規劃產品開發與導入時程，確保研發進度、效能與量產導入。 3. 帶領團隊完成設計、測試、驗證與導入量產，確保時效與品質。 4. 推動跨部門協作（製造、品保、行銷、業務），提升產品差異化與市場價值。 5. 掌握產業趨勢，推動前瞻性專案，保持公司在電競與儲存領域的領先地位。

(1)具備中小型工業機械產品開發之實務經驗。 (2)具備機械產品及設備設計研發能力。 (3)諳機械零件測試與分析，確保產品符合設計規範。 (4)樣品模擬、模具開模及參與修模流程管理使產品開發順利。 (5)主導產品機電系統與嵌入式軟體之整合與應用。 (6)諳設計能力，試產流程持續改善，量產技術轉移之技術會議召集人。 (7)量產階段持續優化，具備帶領團隊能力。 (8)支援其他部門技術問題，跨部門溝通協調。 (9)確保品質管理系統的執行，滿足公司及客戶需求。 (10)喜動手操作、探究原理，沿用既有知識持續優化改善產品。

外包團隊協作與進度控管 – 追蹤開發進度、驗收成果、技術選型決策 程式碼審查（Code Review） – 確保程式品質與架構一致性 CI/CD 管理（Azure DevOps） – 權限控管、部署腳本撰寫與發佈管理 系統與服務監控 – 使用 Grafana 監控服務狀態、錯誤與 EKS 資源等狀態 雲端資源與權限管理（AWS） – 管理 EKS、ECR、Route 53、EC2 等服務與 IAM 權限 APP 上線與維運 – 管理 TestFlight、Firebase、Expo OTA、App Store / Google Play 上架 資料庫與系統設定管理 – MySQL、MongoDB 設定與版本控管 帳號與權限稽核 – AWS、AD 與各平台帳號維護 系統文件維護 – 撰寫與更新系統架構與部署文件 【需熟悉下列工具軟體】 雲端平台與部署：AWS、Azure DevOps、Kubernetes、Docker 版本控管與 CI/CD：Git、GitLab、Azure Pipelines 監控與告警：Grafana、Prometheus 資料庫：MySQL、MongoDB 行動應用相關：TestFlight、Firebase、Expo、App Store / Google Play 專案與文件管理：Jira、Confluence

|| 關於我們 Hi! 我們是安永金融科技 目前主要的產品為 GOSU ，取自『故事』的閩南語，產品的初衷是希望能協助每一位使用者透過聊天機器人說出屬於自己的故事。 而 GOSU 下細分為三個部分 PARTY / BAR / HUB PARTY 為聊天機器人於展場活動的解決方案 希望透過派對的舉辦，讓每一個企業的故事能傳遍在場的每一位參與者。並協助企業與客戶建立連結。 BAR 為雲端聊天機器人創建平台 希望透過我們的引導，讓企業能夠透過心智圖拖拉點選的方式，創建出聊天機器人說出屬於自己的故事。 HUB 是聊天機器人與其他服務整合的解決方案 在這裡我們將匯集企業的其他系統，讓聊天機器人所說的故事能夠更加生動。 || 技能需求 1. 有管理工程師經驗 2. 熟悉 NodeJS 3. 熟悉 TypeScript 4. 熟悉 MySQL 5. 熟悉 Git 操作 6. 有 Docker 或 Kubernetes 使用經驗 7. 略懂 Angular 【 加分項目 】 1. 略懂 NestJS 2. 略懂 Redis 3. 略懂 MongoDB 4. 略懂 Nginx 5. 略懂 Socket.io 6. 略懂 RabbitMQ || 薪資 - 月薪：面議 - 年終獎金最少 1 個月 - 專案獎金於三節時發放，依照所參與的專案，依照比例分紅獎金（以過去經驗大概增加一個月左右的薪資） || 主要客戶群 - 金融證券業 - 活動行銷業 || 聯繫方法 - Email: [email protected] - 電話: (02) 2598-7199 || 上班時間/地點 - 9:30 - 18:30 (午休時間一小時) - 台北市中山區 - 面試方式為實體面試 + 考題

【職務說明】 我們是一條以AI 驅動的先進封裝產線，專注於 MicroLED 與 VCSEL 的巨量轉移、檢測與修補，致力於打造下一世代的 先進顯示技術與矽光子應用。我們正在尋找一位具備頂尖 AI 專業與智慧製造導入經驗的領導者，帶領團隊建構以資料為核心的決策平台，全面提升製程效率、良率與品質穩定性，加速 AI 技術在封裝產線中的實際落地與規模化應用。 【工作內容】 1. 制定 AI 導入策略，聚焦於 MicroLED / VCSEL 巨量轉移、瑕疵檢測、重工修補與製程參數最佳化等核心環節。 2. 領導資料科學家、AI/ML 工程師與軟體開發團隊，推動跨部門 AI 研發與部署。 3. 深度解析封裝產線之異質數據（如機台 log、SPC、AOI 影像、MES 資訊），建構可解釋性高的分析架構。 4. 開發高效能之缺陷分類、良率預測、自動瑕疵標註、根因分析模型，並落地於產線即時應用。 5. 應用強化學習於巨量轉移製程參數之動態調整與優化，突破微組件對位與轉移良率瓶頸。 6. 導入大型語言模型（LLM）與視覺語言模型（VLM），應用於智慧良率歸因、報表生成與製程決策輔助。 7. 建立並優化 MLOps 架構與模型版本管理系統，支援模型從研發到部署的全生命週期。 8. 推動公司內部 AI 能力建設，協助夥伴部門建立資料思維與基本技術知識。 9. 與製造、測試、IT、設備等部門緊密協作，確保模型輸出能轉化為實際效益。 Job Description: We are seeking a visionary leader with top-tier expertise in Artificial Intelligence and a proven track record in smart manufacturing implementation. In this role, you will lead the development of a data-driven intelligent manufacturing decision platform focused on MicroLED process optimization, production efficiency, yield maximization, and automated quality assurance. You will be responsible for the strategic planning of AI technology integration, cross-functional collaboration, advanced model development and deployment, and ensuring the successful adoption of AI innovations that significantly enhance manufacturing performance and product quality. Key Responsibilities: 1.Formulate AI strategies and roadmaps for MicroLED smart manufacturing, driving cutting-edge research, project planning, and prioritization. 2.Lead and develop a multidisciplinary AI team, including data scientists, AI/ML engineers, and software developers. 3.Perform in-depth analysis and mining of complex production data (e.g., equipment logs, sensor data, SPC, MES systems) to uncover deep insights and correlations. 4.Spearhead the development and optimization of advanced machine learning and deep learning models for defect detection, automated quality control, anomaly prediction, and root cause analysis. 5.Drive intelligent process optimization for key manufacturing steps (e.g., mass transfer) using advanced algorithms such as reinforcement learning to achieve dynamic parameter tuning and breakthrough efficiency gains. 6.Explore and implement applications of large language models (LLMs) and vision-language models (VLMs) for yield analysis, process knowledge extraction, and decision-making support. 7.Plan and implement efficient MLOps systems and lifecycle management for AI models. 8.Build internal AI capabilities and promote cross-functional AI thinking through education and training initiatives. 9.Collaborate closely with manufacturing, equipment, IT, and quality departments to ensure successful deployment and realization of AI solutions on the production floor.

1.技術背景,具積極解決客戶問題的企圖心 2.具跨部門溝通整合能力 3.具精密加工或冷卻散熱或半導體設備經驗佳

1.領導視訊影像產品開發團隊，負責團隊管理與技術指導 2.協調各RD部門跨部門合作，進行專案規劃、風險控管與進度追蹤 3.運用技術專業監督開發流程，確保新產品準時且無誤地完成量產 4.擔任客戶溝通窗口，以英語主持會議並處理技術討論

1.負責研發部⾨的全⾯管理，制定技術發展⽅向及規劃。 2.協調並管理部⾨內各團隊的⼯作進度，確保專案按期完成。 3.負責產品技術架構設計、決策和技術難題攻關。 4.管理專案進度、資源分配和質量控制。 5.參與部⾨內⼈員招募及團隊建設。

1. 新產品線、新製程客戶樣品專案管控。 2. 研發團隊管理。 3. 新技術評估與開發案提出及執行 4. 檢測光學環境開發與優化 5. 相機、鏡頭、光源等規格評估與應用 6. 光學儀器/元件規格評估與應用 7. 與其他部門協調。

CerenceAI China RD is seeking a Research Engineer to design and implement the next-generation text-to-speech systems and applications. In this role, with members in globe, you will work both frontend (Grapheme-to-phoneme, Text Normalization, phrasing and prosodic control, etc) and backend (acoustic modeling, neural vocoding) components of engine pipelines and end-2-end system for major languages and dialects. Your work will directly impact CerenceAI products ranging from voice assistants to accessibility tools, delivering natural, expressive, and multilingual speech synthesis. Job Description Representative responsibilities/duties will include but not limited to: • Design and optimize text/NLP preprocessing pipelines with Deep Learning or Machine Learning methods, including Grapheme-to-phoneme (G2P) conversion for multilingual support; Text normalization; polyphone disambiguation; Prosody prediction and control • Integrate language models (e.g., BERT, GPT variants) to improve contextual and semantic understanding for natural intonation • Develop rule-based and neural solutions for emotion/style control in synthesized speech • Build state-of-the-art acoustic models (e.g., Tacotron, FastSpeech, VITS) to map linguistic features to spectrograms or waveform parameters. • Optimize neural vocoders (e.g., WaveNet, HiFi-GAN, MelGAN, LPCNet) for high-fidelity, real-time speech synthesis • Optimize inference latencies for both edge devices and cloud platforms • Enhance robustness through noise suppression, speaker adaptation, and multilingual/cross-language/cross -gender voice cloning Knowledge, skills, and qualifications Education: Master in CS, AI, EE, Math, or related field. Required/preferred skills: • hands-on experience in speech generative system development with deep expertise in both frontend and backend components • Proficiency in C/C++ and Python, with mastery of ML frameworks (PyTorch, TensorFlow, etc) • Some background in NLP techniques and/or speech signal processing is welcome • Knowledge on transformer-based language models for prosody prediction • Basic understanding of autoregressive / non-autoregressive acoustic models and neural vocoders • Experience in optimizing models via quantization, pruning, or knowledge distillation • Experience with ONNX Runtime, TensorRT, or TorchScript, etc • Experience with zero-shot/one-shot/few-shot voice cloning or emotional TTS systems • Skilled GPU/TPU cluster and grid user • Fluent English is a must-have

1. 負責鋰電池模組BMS系統規畫、硬體電路設計、設計審查與測試驗證。 2. 負責電池模組BMS新平台規劃設計、技術開發與專利佈局。 3. 負責監督專案執行、制定硬體設計規範、解決方案、開發品質管理和流程優化。 4. 負責硬體開發成本控制。 5. 負責管理硬體部門、組織規劃、人才招募。 6. 主管交辦事項。

Molex is seeking a motivated and self-driven Technical Project Manager (TPM) to lead and manage projects serving clients in the medical and/or automotive industry. This TPM will interface directly with clients to provide overall project updates. TPM is responsible for leading high profile, customer-driven, regulated industry new product introduction projects to successful commercialization. Using the Molex Product Development Process methodology, the TPM facilitates the global cross functional project teams throughout the project life cycle. The project life cycle encompasses the Project Preparation, Proposal Development, Product Development Plan, Preliminary Design Completion, Final Design Completion, Production Process Development, Product and Process Qualification, Issue Tracking, Production Safe Launch. What You Will Do In Your Role · Lead cross-functional teams to deploy the related activities and deliver new products launched on time and on budget. Ensure that these teams achieve all customer and company requirements including quality, cost, delivery, product performance and customer satisfaction · Perform the Project Management function: Manage project change control and decision documentation. Efficiently track and manage engineering changes and validation status. · Continuously conduct risk assessments of strategic, technical, finance and business factors impacting the plan and drive corrective actions to mitigate deviations to the project plan. · Perform Risk Management to protect the Project Plan. Work with the product development team to identify potential risks to planning execution and appropriate Mitigation or Contingency Plans. Get management support for proactive activities or escalating project issues to meet the Project Plan · Demonstrating proactive problem-solving by identifying potential issues early and delegating them to appropriate team members for swift resolution · Provide oversight into assigned projects including scheduling, assignment of work, and reviews of project efforts to ensure that the project meets the technical and process specifications. · Proactively identify, document, and execute risk reduction activities to minimize Project Risks associated with Cost, Quality, and/or Timing that could negatively affect Project Plan achievement. · Development of the detailed cross functional project coordination plans, including the use of RACI charts or similar tool · Compile project status reports regularly and present to leadership to track critical project KPIs and identify internal and external factors jeopardizing the project. · Escalate issues and recommended solutions using the escalation process. · Lead and mentor team members in project management principles, PDP processes, risk management, issue resolution, decision making, etc. · Co-leading the Request for Quotation (RFQ) process and spearheading RFQ package preparation

中勤實業尋求具有設計熱忱、認真負責、且對創造先進技術充滿熱情的機構副理， 在這職位上，您將建造自動檢測設備的原型機，並與跨領域的團隊一同合作， 您可在半導體與其他高科技產業(LED、面板、太陽能)的智能傳載及儲存設備， 為先進製程各類型貴重金屬材提供優質材料與自動化解決方案發揮長才。 主要技能： 1. 機械工程和材料科學相關知識。 2. 機械系統的原型設計、測試和驗證方法的實作經驗 3. Pro/E(CREO)繪製機構設計圖面 4. 與跨領域之團隊合作，達成計畫目標 5. 協助解決製造與生產過程中的問題 6. 需配合常態性加班 中勤實業，為鼓勵員工的傑出貢獻及創意思維，也會提供額外的獎勵， 我們也非常重視創新、發明專利及智慧財產， 你的薪資範圍將取決於你的經驗、技術與資格。

My client is US listed company in all-in-one security field, with fast growing business and environment to develop innovative product solutions. Responsibilities: - Collaborate with Director of Product and global VP of engineering & manufacturing to deliver market fit product. - Work closely and drive global Senior hardware and firmware engineers and architects to deliver projects and product on time. - In charge of ODMs, JDMs and CMs collaborations and management. - Strong in planning and executing technical projects within budget and on time. Improve work methods with cross regions. Requirements: - 10+ years’ experience in IoT products and holding Electrical or Computer engineering degrees. - Solid experience either in Robotics, camera or AMR products. - Proven record in leading a 3 + members team and build up team from scratch. - Great English communication skills.

1. 能夠了解主板的線路及其動作方式與原理並獨立完成設計。 2. 硬體設計問題的初步分析與解決。 3. 負責線路的Net list check 並確認其正確性。 4. 負責產品的方案制定、器件選型、硬體設計、調試等工作 。 5. 編寫產品BOM、生產指導文件等技術資料 。

我們是一家專注於 NAS 與資料儲存解決方案的國際公司，致力於打造穩定、安全又直覺的儲存平台，讓全球數百萬使用者能隨時隨地掌握資料。隨著業務的快速成長，我們正在尋找一位非常資深的軟體總監，帶領我們的軟體團隊邁向下一個里程碑。 ★您的角色： • 主導 NAS 軟體架構設計與技術決策，涵蓋檔案系統、網路協定、管理平台、行動與應用生態系。 • 帶領並管理超過 30 名工程師，推動團隊在前後端、行動應用、系統與協定上的突破。 • 制定長期技術藍圖，確保產品在效能、安全性與使用體驗上的持續領先。 • 與產品、硬體、QA 及跨國團隊緊密合作，推動從概念到上市的完整產品週期。 ★我們希望您具備： • 資訊工程或相關領域學士以上學位，碩士/博士佳。 • 10 年以上軟體開發經驗，5 年以上軟體架構設計與管理經驗。 • 曾管理 20 人以上軟體團隊，具備跨國或跨部門協作經驗。 • 深厚的技術專業，至少熟悉以下數個領域： o 檔案系統與儲存技術 (ext4, Btrfs, ZFS, RAID 等)。 o NAS/網路儲存協定 (SMB, NFS, AFP, iSCSI, WebDAV, S3-compatible 等)。 o Linux 系統程式設計與效能優化。 o 後端/前端 Web 管理介面開發。 o 行動應用 (iOS/Android) 或桌面應用程式開發。 • 熟悉資訊安全、加密、認證與網路防護。 • 優秀的領導力與溝通能力，能帶領團隊在挑戰中持續成長。 • 英文流利，能與海外團隊協作。 ★為什麼加入我們？ • 參與影響全球使用者的 NAS 平台開發。 • 帶領具國際視野、專業且充滿熱情的工程團隊。 • 提供具有競爭力的薪資與優渥福利。 • 在高速成長的產業中發揮影響力，成為公司技術核心的領導者。 ※如果你是技術領袖，同時熱愛帶領團隊創造卓越產品，我們誠摯邀請你加入，一起定義下一代 NAS 體驗！

1.與客戶確認專案需求與細節 2.負責產品機構設計，技術評審及功能驗証 3.監督各研發專案的執行情況 4.提供方案以改善生產效率及成本優化 5.導入新工藝，新技術，以至新材料的應用 6. 跨部門溝通協調

1. 具備開發能力，並能技術指導 RD 小組成員 2. 系統架構規劃 3. 系統程式開發 4. 數位影音廣告相關後台系統程式開發設計 5. API 介接與開發 6. 資料處理與報表功能開發 7. debug ，問題追蹤與解決，需要有耐心和細心 主要程式語言：PHP (需熟悉 php framework ： Lavavel ） 次要程式語言：Golang, Javascript, Python, CSS3, Vue.js 資料庫：MySQL（MariaDB） 需熟悉 Redis, MongoDB

【About the role】 Hytech is seeking a forward-thinking Manager of Software Security Architecture to lead the strategy, development, and execution of a world-class application security program. This highly technical leadership role will define the vision for embedding security throughout the software development lifecycle (SDLC), including modern AI and machine learning platforms. The ideal candidate will have deep expertise in secure software development, application security engineering, CI/CD automation, and integrating security into traditional, cloud-native, and AI-enabled environments. You will lead a global team of security engineers, build scalable developer-focused security solutions, and shape security strategies across engineering, infrastructure, DevOps, and data science teams. What this job involves: [Program Ownership & Strategy]: 1. Own and advance the enterprise application security program, including vision, technical strategy, and execution. 2. Define and implement scalable, modern AppSec practices for cloud-native and AI-enabled development. 3. Represent application security in enterprise architecture, risk, and compliance initiatives. 4. Define KPIs to measure security posture and program effectiveness. [Leadership & Collaboration]: 1. Lead, mentor, and grow a global team of application security engineers and specialists. 2. Promote a proactive “shift-left” culture by embedding security throughout the SDLC. 3. Partner with development, DevOps, AI/ML, and product teams to integrate secure practices into software and data science workflows. 4. Build strong cross-functional relationships to drive security-first thinking and align investments with business value. [Security Tooling & Technical Implementation]: 1. Drive adoption and optimization of security tools (SAST, DAST, SCA, IAST, secrets scanning, etc.) in CI/CD workflows. 2. Design and deploy developer-friendly tools for threat modeling, code scanning, secrets detection, and dependency analysis. 3. Implement internal secure-by-default frameworks and reference architectures. [AI/ML Security]: 1. Collaborate with AI/ML teams to implement secure design patterns for model development, training pipelines, and service deployment. 2. Develop and enforce security controls for AI applications, including data integrity, robustness, governance, and prompt injection prevention. 3. Evaluate and integrate emerging tools for securing ML pipelines, generative AI models, and AI APIs. [Security Enablement, Education & Documentation]: 1. Build scalable security enablement programs, including secure coding workshops, bootcamps, and self-service resources/platforms. 2. Develop and maintain internal security documentation, policies, and standards. [Research & Continuous Improvement]: 1. Stay current on application security threats, AI security research, and best practices in cloud and software engineering.