轉職熱搜工作

工作內容 1. 負責台灣北區客戶的維運與開發，聚焦醫療、工業自動化、半導體及機器人等應用領域。 2. 以馬達產品為核心，延伸至驅動模組整合與系統應用，依據客戶需求規劃最適化的馬達、減速機與控制組合，並提供整體解決方案與技術建議。 3. 跨部門協調應用工程／FAE 團隊，執行技術討論、規格確認與商務談判，確保專案時程順利推進並成功導入量產。 4. 追蹤專案進度與財務績效，定期彙整銷售預測、市場分析及競品動態報告。 5. 參與國內外展會與產業研討會，拓展新客戶、通路與策略合作夥伴。

1. CPU/GPU STA, high-speed & low-voltage timing signoff/ timing closure 方法流程設計 2. STA 流程開發及應用 3. high-speed/low-voltage timing signoff criteria開發及應用 4. 針對project的STA/timing signoff問題進行分析及改善

Do you want to be part of a smart and passionate team of researchers, advancing artificial intelligence to the next level of end-user experience in their daily lives? MediaTek Research Taiwan is seeking driven and brilliant young students to join our efforts by providing Internship placements. We are currently working on Natural Language Processing, AI for Chip Design and more! We hope you can join us as we embark on the a journey from research to product! The ideal candidate is open-minded, passionate about realizing AI in practical use cases, and looks forward to cutting-edge challenging problems. • You have experience on Frontend/Backend/Full-Stack Web programming • You have basic understanding of the foundations and engineering aspects of AI, hands on experience with machine Learning frameworks (PyTorch, Tensorflow, JAX) is a plus. • You are a proficient scientific communicator. You are committed to your goals and working in a team. • You are eager to tackle real-world applications with state of the art methodologies. We want your ideas to shine! As an Engineering Intern in our team, you will collaborate with our researchers and worldwide colleagues and develop applications and algorithms that make a real difference in everyday devices. Your developments would significantly enhance the experience of numerous end users across our product range.

Do you want to be part of a smart and passionate team of researchers, advancing artificial intelligence to the next level of end-user experience in their daily lives? MediaTek is seeking driven and brilliant young students to join our efforts by providing Internship placements. We are currently working to expand the frontiers of Deep Learning frameworks for Computer Vision and Natural Language Processing and we hope you can join us! The ideal candidate is open-minded, passionate about learning theory, and looks forward to both practical and challenging problems. • You will be working towards or recently have completed a PhD in a quantitative field such as Computer Science, Mathematics, Physics or Engineering. • You have a good knowledge of the foundations of Deep Learning and Neural Networks, including some experience with Machine Learning frameworks (Tensorflow, PyTorch, JAX) • You are a proficient scientific communicator. You are committed to your goals and working in a team. • You are eager to tackle the state of the art problems in the field. We want your ideas to shine! As a Deep Learning Researcher in our team, you will collaborate with our Researchers and with worldwide colleagues, stay up and above the state of the art, initiate with novel ideas, and develop them into algorithms and applications that make the real difference in everyday devices. You will also push your contribution by publishing at top-tier conferences, such as NeurIPS, ICML, ICLR, CVPR, ACL, ICRA, ACM.

(請留意：為加快面試安排時間，2026校招僅限定投遞5個職缺) 1. MediaTek邀請您與世界頂尖人才合作，共同研究最新的點子，挑戰不可能，期待你擁有創新精神和持續學習的精神 2. 研究、分析並致力於最先進的演算法: 深度學習、數據分析、機器學習、自然語言處理或影像識別 3. 把想法化為現實，利用AI/LLMs和其他方法應用在行動通訊、無線及寛頻連結、家庭娛樂晶片解決方案 4. 在明快工作節奏的環境中與MediaTek工程師一起工作，學習新技術並解決現實世界的問題。

We are looking for aspiring ML/DL candidates to join our team of researchers. The ideal candidate is open-minded, passionate about pushing learning theory, and keen on the opportunity to challenging convention. Your ideas shall be based on sound mathematical justification, yet can lead to scalable and practical solutions. In a flexible and supportive environment, one of your major responsibilities is to push the state of the art of learning theory. Furthermore, through collaboration with worldwide colleagues, you will have the rare opportunity to apply advanced Deep Learning theories to novel application areas such as AI-designed IC and General Intelligence Conversation. We welcome all ML/DL backgrounds, including computer vision, speech and NLP, and robotics.

(請留意：為加快面試安排時間，2026校招僅限定投遞5個職缺)我們在找這樣的你： 資工/資管/電子/電機/電信/通訊/電控相關研究所背景，對行動通訊、無線及寛頻連結、家庭娛樂晶片解決方案有濃厚興趣的2026年應屆畢業生。 勇於表達意見，以團隊成功為目標，面對困難不輕易放棄，總是在想更好的做法，擁有創新及不斷學習的精神。 聯發科技邀請您，與全球最頂尖的菁英一同合作，彼此激盪最新的創意與解法，共同挑戰每一個不可能。

Work in Analog/Mixed-Signal Modeling and Verification Methodology Development group to establish, streamline and enhance new and existing AMS Behavioral Modeling related development method, coding and validation process and integration flows, and work hands-on with AMS IP Teams for AMS Behavioral Modeling flow and process experiments, demonstrations, adaptions, and deployment. The candidate will work with AMS IP teams including digital design, analog design, analog behavioral modeling and design verification members, apply and advance existing and evolving AMS Behavioral Modeling methodologies and processes, and contribute to establish and maintain Modeling Platform to ensure High Quality and High Efficiency of Pre-Si AMS Modeling, Validation and Verification delivery towards high quality silicon products. • Work in methodology development group to establish, streamline and enhance new and existing AMS Behavioral Modeling related development method, coding and validation process and integration flows. • Work with teams to enable deployment of new AMS Behavioral Modeling flow and processes through experiments, demonstrations, adaptions (for real projects in specified areas such as RF, etc) and integration. • Document on new flows and processes for AMS Behavioral Modeling. • Apply wide range of AMS Behavioral Modeling skills to help and support AMS IP or Chip Teams to establish or enhance new or existing Modeling capabilities, including but not limited to Model Development, Model Validation to ensure Consistency of Behavior with Original Circuit, Integration of Models into various Verification Environment, fixing Modeling issues found in simulation, etc. • Contribute to continuous improving on AMS Behavioral Modeling process for better quality and efficiency through methodology and process improvements. • Communicate and collaborate with global architecture, design, verification teams to address new needs or requirement on AMS Behavioral Modeling. Job Locations: • Taiwan:Hsinchu/Taipei • India: Bangalore • Singapore • USA:Santa Clara, CA/San Diego, CA

We are looking for experienced ML/DL candidates to join our team of PhD-level researchers and interns. The ideal candidate is open-minded, passionate about pushing learning theory, and keen on the opportunity to challenging convention. In a flexible and supportive environment, one of your major responsibilities is to push the state of the art of learning theory, to obtain insights beyond mythical theories as well as to apply the right solution to novel application areas such as AI-designed IC and General Intelligence Conversation. Furthermore, you shall actively engage with worldwide colleagues and academics to nurture and build a collaborative and effective R&D environment. We welcome all ML/DL backgrounds, including computer vision, speech and NLP, and robotics.

職缺說明 我們是聯發科技IT MLOps平台團隊，致力於打造高效、可擴展的MLOps平台，提升企業AI模型開發、部署與運維自動化能力。團隊積極導入最新技術並持續學習成長，尋找具備MLOps平台架構設計與實踐經驗的菁英，一同推動公司AI數據驅動轉型。 歡迎對雲端/地端AI平台、機器學習自動化與大型系統架構有熱情的你加入我們！ 工作內容： 1 規劃並設計企業級MLOps平台架構，負責專案規劃、目標訂定、技術選型與落地執行。 2 與跨部門團隊AI合作，協助把商業問題拆解為可自動化實現的AI工作流，支撐AI模型端到端生命周期管理。 3 主導平台核心模塊建置：模型訓練/部署管線、CI/CD for ML、資料流通與版本控管、模型監控與資產管理等。 4 推動企業級MLOps標準化、流程自動化與最佳實踐，優化模型運營效能、穩定性及安全性。 5 參與平台持續優化與技術創新，導入新技術·新工具如Kubeflow、MLflow、Vertex AI等，提升平台功能。 6 協助建立團隊技術文化，分享MLOps相關知識、推動內部技術培訓與交流。