轉職熱搜工作

About the Role: Bring your GPU driver expertise and work closely with our Architecture and Micro-architecture teams. In this role, you will contribute across the GPU software stack and help extract maximum performance from the silicon while supporting the development of our next-generation GPU designs. This is not a siloed driver role. You will have opportunities to work across industry-standard graphics and compute APIs, kernel-mode drivers, GPU firmware, performance optimization, and hardware/software integration. What You‘ll Do — The Full Stack: • API Layer: Develop, debug, and optimize features for industry-standard APIs including Vulkan, DirectX, OpenGL ES, and OpenCL. • Kernel & Firmware: Work on kernel-mode drivers and GPU firmware to improve hardware control, stability, scheduling, memory management, and execution efficiency. • Performance: Analyze and optimize bottlenecks across the stack, including driver overhead, memory bandwidth, GPU scheduling, compute throughput, and power/performance tradeoffs. • Cross-Team Collaboration: Work closely with Architecture, Micro-architecture, Compiler, and GPU Model teams to validate GPU behavior, debug complex issues, and improve software/hardware interaction. • System-Level Debugging: Investigate issues across user-mode drivers, kernel-mode drivers, firmware, and hardware models to improve stability, correctness, and performance. Why This Role? • No Silos: You are not restricted to only one layer of the stack. You will have the opportunity to work across APIs, drivers, firmware, and performance. • Hardware-Software Impact: Your work will help the software stack fully utilize GPU hardware capabilities. • Next-Gen GPU Exposure: You will collaborate with architecture, compiler, and modeling teams on technologies that shape future GPU products. Ready to work across the entire GPU stack? Apply today.

• 主導 6G 頻譜接取（spectrum access）、初始接取（initial access）、能源效率（energy efficiency）或 MIMO 等技術的開發與 3GPP 標準化，推動功能從概念落實至正式核定的規格。 • 在 3GPP 及其他標準組織中撰寫並推動技術提案（contributions），並凝聚共識以促成其採納。 • 爭取並擔任 3GPP 關鍵領導職位——包含 feature lead 與 rapporteur——並代表公司策略性競選。 • 跨 3GPP 各工作組（working groups），以及在標準化團隊與產品實現團隊之間進行協作，確保技術可行性與設計一致性。 • 指導資淺工程師熟悉標準化流程與技術開發。

負責 SoC／系統層級的效能與功耗分析、優化。 與硬體、韌體、軟體、架構等團隊合作，推動效能與功耗改善方案。 針對系統瓶頸進行深入分析，提出有效的優化解決方案。 參與 DVFS、低功耗設計、系統資源管理等技術的開發與調教。 針對 Windows 平台，優化 Windows PPM（Processor Power Management）設定，提升系統效能與功耗表現。 分析並調教 Windows Power Management 相關設定，確保系統在各種使用情境下達到最佳效能與最低功耗。 撰寫技術報告與文件，並提供內部團隊及客戶技術支援。

車用無線通訊軟體開發，包含： 1. 802.11 無線網路驅動程式與韌體開發 2. Android/Linux 嵌入式系統驅動軟件開發整合 3. WLAN/Wi-Fi通訊系統協定軟件設計及開發 4. 內部跨單位與車用平台單位及世界級車廠合作開發至產品量產

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。

Machine Learning - Architect/Researcher/Engineer - Accelerator, Deployment and Infrastructure [Overview] MediaTek HQ is looking for Machine Learning Architect, Researcher, or Engineer who is passionate about System Platform, Software Engineering, and Applied Machine Learning (including Deep Learning and AI). This position is within MediaTek’s AI Group. This R&D role offers a dynamic environment, hands-on learning, and a unique opportunity to develop both Infrastructures and Accelerators for state-of-the-art (SOTA) machine learning, as well as to build applications utilizing SOTA machine learning techniques. You will join a team devoted to developing and deploying cutting-edge machine learning and deep learning algorithms, optimized for MediaTek’s NPU—and, conversely, optimizing our NPU for advanced ML/DL workloads.

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.

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。

1) 負責設計與定義先進4G、5G及6G通訊系統內數據擷取控制系統架構，以作到系統行為分析、系統效能優化，以及問題解決。 2) 開發、優化並維護數據擷取控制系統的底層驅動程式與軟體控制流程。 3) 研究並導入以AI為基礎的自動化工具，以強化問題診斷、異常偵測與數據分析能力。