轉職熱搜工作

(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

(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。

(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。

(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。

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。

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.

1. 設計和開發基於QNX的嵌入式軟體，特別是車用cockpit平台，確保系統的穩定性和高效性 2. 熟悉QNX的軟體開發平台(SDP)組件，並能夠快速掌握技術知識 3. 提高系統除錯效能，確保軟體的穩定性和可靠性 4. 與產品和服務工程團隊合作，定義和實現軟體功能，滿足車用平台的需求 5. 與產品管理和開發團隊緊密合作，澄清和詳細說明產品需求，確保需求的準確性和可行性。 6. 支持全球客戶需求，根據團隊計劃和優先事項，應對資源和技術挑戰。

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 5. 此職缺之薪資起始水準為NT$29000~50000，但仍會視人選之學經歷背景調整核定。