轉職熱搜工作

1. Implement and maintain device drivers, or firmware for high-speed interfaces, such as PCI Express, MIPI CSI-2, USB or UFS. 2. Develop FuSa and security software framework for high-speed interfaces to fulfill automotive requirements.

1. 開發用於模擬手機/平板/車用SOC功率消耗的平台 2. 協助IP, SOC與軟體團隊，維護用於功耗分析的資料庫，開發相關工具以輔助跨團隊的資訊整合 3. 優化系統效能，輔佐系統功耗相關決策的進行

1. AI SW task management and SW strategy development 2. Software developments of AI/GAI and its applications on automotive and Smart home products 3. OEM engagement for new application exploration 1. 負責AI SW任務管理與SW策略制定 2. 負責AI/GAI軟體開發及其在汽車、智慧家庭產品的應用 3. 參與OEM新應用探索

1. 應用正規方法在硬體或軟體的驗證上 2. 正規方法文獻回顧與論文分析以改善目前的使用限制 3. 規劃安排跨部門的技術教學與討論課程 4. 相關的文件撰寫與審查修改

1. 進行射頻系統性能驗證工作，確保測試結果符合測試規範需求。 2. 與演算法及軟體部門合作開發與PA相關的省電技術。 3. 使用DPD技術改善PA的線性度與效率。 4. 支持重要客戶完成工廠校準時間的優化工作。 5. 撰寫高品質的技術文檔，並交給客戶支援單位以執行客戶支持。

-規劃並執行高速介面（如 PCIe, USB, DP, UFS, CSI, UCIe）IP PHY 驗證。 -建立並維護測試平台，進行 System 與 Electrical 測試。 -使用 Scope, BERT, LA, Signal Analyzer 等儀器進行 Signal Integrity 與 Compliance Test。 -分析測試結果，協助 DE 及 SW 團隊解決問題。 -設計並開發硬體 PCB 評估板，支援系統驗證。

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.

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.

職位概述 (Role Overview) 我們正在尋找一位具備跨領域特質的獨特人才，能夠在「工程技術」與「商業思維」的交會點發揮所長。您將擔任關鍵的橋樑角色，將車用人工智慧 (Automotive AI) 領域的技術實力，轉化為實際的市場價值。 主要職責 (Key Responsibilities) 1. 策略分析 (Strategic Analysis)： 進行 TAM (整體潛在市場) 與 SAM (可服務市場) 分析，並定義產品的 KSP (關鍵銷售點)，以指引產品未來的發展方向。 2. 開發實作 (Development)： 負責建構並展示最小可行性產品 (MVP) 的原型設計與技術 Demo。 3. 概念驗證 (Validation)： 主導與客戶端的技術研討，於開發週期初期即進行產品概念的驗證與對焦。 4. 迭代優化 (Feedback Loop)： 建立並管理市場端與 R&D 團隊間的反饋閉環，推動產品的快速迭代更新與持續優化。