轉職熱搜工作

AI Model development, system level modeling and HW/SW system level bottleneck analysis

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.

負責電腦視覺演算法開發，包括影像處理、深度學習、機器學習以及影像識別。 這些技術將應用於相機相關產品，涵蓋多個產品線 (如：ISP, Auto Exposure, Auto Focus, Auto White Balance, HDR image processing, AI-ISP)。

我們的使命是運用機器學習與生成式 AI (GenAI) 技術，協助 MediaTek 提升研發效率與工程品質。你將與各部門緊密協作，將業務痛點轉化為 AI 專案，並設計從 PoC 到正式上線的高可用性解決方案，實現可量化的生產力提升。 Key Responsibilities : • 針對研發與營運場景協助 AI 系統架構設計與評估，整合 LLM、Agent 與多模態 AI 等前沿技術，制定最佳落地策略。 • 運用紮實的軟體開發能力負責 GenAI 應用開發與落地，透過 LLM API 敏捷整合至現有工作流與產品中。 • 導入 AI 開發輔助工具並建置 LLMOps 基礎設施，建立 ML CI/CD pipeline 與 K8s 部署環境，實現模型端到端的自動化管理。 • 秉持高標準軟體工程實踐來推動跨團隊協作與交付，與研發及IT 等公司團隊密切配合，確保 AI 解決方案穩定上線。 • 持續評估並導入新技術與工具（如 Opik、Claude Code 等）以引領技術演進，主動推動內部技術分享，建立持續學習的 AI 工程文化。

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.

1. 開發多模式 NR / 6G / NTN DSP 韌體： 包含狀態機（State Machine）、通道排程（Channel Scheduling）及數據機控制（Modem Control）韌體設計。 2. 在嵌入式系統中實作 OFDM 通訊訊號處理與理論。 3. 將數位通訊演算法移植或開發於專用指令集處理器（ASIP）或數位訊號處理器（DSP）架構之上。

1. Wi-Fi 驅動程式和韌體開發設計及驗證 2. Wi-Fi 等無線晶片之跨層架構介面設計 3. 開發並取得Wi-Fi Alliance認証 4. 移植WLAN驅動程式到各Android, Linux核心和手機產品 5. 協助研發軟體新技術與新工具 6. 維護量產的產品

負責MCU/MPU(Microprocessor Unit)平台之嵌入式軟韌體開發、驗證與維護 1.設計、開發和優化 MCU/MPU 的軟體，包括初始化/啟動程式碼、驅動程式和外設庫 2.與硬體工程師、系統工程師協作，完成軟硬體整合與驗證 3.分析並解決MCU/MPU應用開發過程中的技術問題

開發手機/平板SoC模擬及分析平台， 從系統效能，功率消耗，溫度控制...等多重面向分析產品競爭力， 進而從系統角度優化硬體架構及軟體控制策略。

負責開發和維護微控制器單元（MCU）的底層軟體架構與實作， 此職位需要對 CPU 與低階系統軟體開發有深入了解。 - 設計、開發和優化 MCU 的軟體，包括初始化程式碼、驅動程式和外設庫。 - 與硬體工程師合作，確保軟體與 MCU 硬體正確整合。 - 處理穩定度與能耗相關問題並提供及時解決方案。 - 與韌體開發人員密切合作，支援在 MCU 平台上的應用程式開發。