轉職熱搜工作

• 領導並參與6G無線通信技術的前沿研究工作。 • 為國際標準組織（如3GPP）制定和完善技術提案。 • 分析新興趨勢，並將前沿概念（如人工智慧、能源效率、衛星通信）納入研究議程。 • 與跨領域團隊合作，評估技術的可行性及其與全球標準的契合度。 • 透過參與全球聯盟、產業論壇及標準化委員會，推動生態系統的互動與參與。 • 指導初級工程師標準化流程及技術寫作。

1. 5G 物理層/通訊協定規格及流程驗證 2. 熟悉5G L1 phy, 通訊協定, IMS, GCF/PTCRB, RF conformance , 並設計測項保證手機系統品質及效能 3. 5G R16 and later features and later new feature verification 4. Maximum throughput 測項開發及驗證 5. 5G 系統環境模擬及測項開發 6. 與營運商或基地台廠商執行互操作聯調/互操作測試/場測 7. 自動化工具開發及大數據通訊協定分析

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. Responsible for the development of soft firmware of ASIC product system, high-speed data transmission Software/PHY development and optimization of hardware performance 2. Lead related IP development, familiar with software/firmware/SDK, issue debugging, optimization and testing in ASIC projects 3. Collaborate with the team for functional/system bring-up, validation, performance optimization and adjustment 4. Achieve product design-in import and support product mass production 5. It would be better if being capable in Signal Processing/Algorithm implementation and SI/PI simulation interpretation.

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。

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.

負責PCIe軟體開發，硬體功能驗證，以及量產support. 1. FPGA/SoC 驗證 2. Linux/RTOS/Window PCIe driver 開發 3. 軟硬體問題分析與解決 4. 系統規格討論 5. 客戶問題支援

1. 開發基於虛擬機的軟體平台和虛擬機管理技術。 2. 職責包括軟體功能和驅動程式的開發，以及硬體設計的整合。 3. 與其他軟體團隊、第三方和客戶的工程師進行合作。

1.Design, develop, and optimize advanced Generative AI models (e.g., LLMs, diffusion models, GANs) for modem system verification and testing. 2.Develop and lead AI-powered tools and platforms to automate software processes, improving efficiency and test coverage in modem system testing. 3.Architect large-scale data pipelines and perform feature engineering and statistical analysis to ensure the quality and integrity of test data. 4.Lead technical projects using Agile methodologies, driving models from PoC to production and ensuring robust testing and CI/CD integration for modem systems. 5.Stay up to date with the latest AI trends, and proactively propose and implement innovations to enhance automation and testing efficiency.