交大專區

1. 負責SOC內 bus 數位系統的 SystemC 平台建模與模擬，包括功能建模與性能分析。 2. 根據系統規格，建立可重複使用且具延展性的 SystemC 模型，支援系統架構規劃與驗證。 3. 參與 SoC（System-on-Chip）/IP 之行為層及高層次抽象（TLM, Transaction-Level Modeling）模型設計與驗證。 4. 與硬體、軟體和驗證團隊協同合作，協助流程整合、聯調與問題分析。 5. 撰寫技術文件與模型說明，支援團隊設計、驗證及客戶應用。

1. Develop systematic methodology to alleviate design challenges, including synthesis, physical implementation, Timing/IREM sign-off, process what-if assessment, system performance evaluation, in advanced nodes or package 2. Closely work with foundry and EDA vendors to define innovative HPC, Chiplet design methodologies 3. Explore new circuit architecture, EDA features and define improvement direction from MTK product requirements

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)。

我們正在尋找一位技術精湛的相機ISP演算法開發工程師加入我們的團隊， 理想的候選人將負責設計、開發和優化相機系統的影像信號處理（ISP）演算法， 主要職責包括開發演算法提升影像質量、減少噪聲和改善色彩準確性。 候選人應具備影像處理、電腦視覺的強大背景，並熟練掌握C/C++和Python等編程語言， 具有相機硬體和實時處理經驗者優先。 加入我們，一起創新，推動相機技術的極限！

- 開發ISP & 影像傳感器驅動程式, 以及硬體驗證。 - 相機性能優化 (包含硬體和軟體)。 - AI輔助平台建置, 以加速驅動程式開發與驗證。 - 開發相機開放平台功能 for Android手機、AI 相機功能、監控系統和汽車載具應用的相機系統軟體。 - 設計和實施嵌入式相機系統軟體，以支持不同產品線的相機功能。 - 與跨職能團隊合作，整合AI相機功能，車用安全相機軟體，確保符合功能安全標準。 加入聯發科多媒體團隊 (MM)： 加入聯發科的相機軟體工程師後將開啟創新與現實應用相遇的旅程。在聯發科，您將成為重新定義多種設備上相機體驗的核心團隊的一份子。您的專業知識將有助於創建令人驚艷的用戶體驗，讓用戶以無與倫比的清晰度和智能捕捉生活時刻。作為相機軟體領域的先驅，您將參與融合尖端人工智慧和強大相機系統的具有挑戰性和令人興奮的項目，確保每張快照或影片都講述一個故事。您的工作將不僅推動相機技術的發展，同時讓全世界圖像互動技術有著重大的影響力。

1. 多媒體與新技術研究與分析 2. 獨立開發顯示影像處理相關演算法

## 關於團隊 (About the Team) MediaTek IoT BU 的 Linux Platform Team 負責 MediaTek Genio 平台的 Linux 系統軟體與 distribution 開發。我們長期與合作夥伴、開源社群及 upstream maintainer 協作，打造可維護、可擴充，並符合標準 Linux 生態系的 Yocto、Ubuntu 與 Debian 解決方案。 我們正在尋找一位 Senior AI Engineer，主導 MediaTek ONNX NeronEP（ONNX Execution Provider）的開發與優化。這個職位將聚焦於 ONNX Runtime 框架整合、NPU 加速、客戶模型效能分析，以及 Debian/Ubuntu 生態系整合，協助 MediaTek AI 解決方案更容易被客戶、開發者與合作夥伴採用。 在這個角色中，你將參與真實 Edge AI 產品落地，面對 robotics、drone，以及未來 GenAI on edge 等應用場景。你也將有機會參與 ONNX Runtime upstream 與標準 Linux distribution 整合，讓你的工作成果進入更廣泛的開發者生態系，並直接影響全球客戶的 AI 產品開發體驗。 ## 你將負責的工作 (What You‘ll Be Doing) - 主導 MediaTek ONNX NeronEP（Execution Provider）的開發、維護與效能優化，並以 NPU 作為主要加速後端。 - 與內部 runtime、driver、compiler、platform 團隊，以及外部合作夥伴協作，推動 NeronEP upstream 到 ONNX Runtime 官方專案，並維持與新版 ONNX Runtime 的相容性。 - 分析客戶 ONNX 模型，定位效能瓶頸與功能缺口，判斷問題來自 runtime、driver、kernel、硬體加速器，或模型本身的設計與優化空間，並提出具體改善建議。 - 開發模型優化、效能分析、debug 工具與 reference applications，降低客戶導入 MediaTek AI 解決方案的門檻。 - 推動相關 AI 工具鏈以 Debian/Ubuntu package 形式提供，支援標準 Linux distribution 的整合、部署與長期維護。 - 支援客戶 AI 專案從 PoC 到產品化過程中的技術問題，重點包含 debug、效能分析、模型優化與 deployment 建議。 ## 職位資訊 (Position Info) - 工作地點：台北，on-site - 職位性質：Individual Contributor，專注於技術深度與跨團隊技術推進，不負責 line management。此角色將需要密切協調內部團隊與外部合作夥伴，共同推動開發、整合與產品落地。 - 所屬部門：MediaTek IoT BU — Linux Platform Team

We are seeking skilled engineers for designing high-performance Virtualization and Interconnect Architecture and developing RTL for both Automotive and High-Performance Computing. Roles: 1. Develop, assess, and refine RTL to achieve performance, power, area, and timing goals. 2. Develop micro-architecture by exploring early high-level macro architectures, researching micro-architecture, and defining detailed specifications. 3. Coordinate co-design efforts between architecture, software, and hardware teams to achieve functional realization. 4. Develop and implement interconnect methodologies, such as simulation, emulation, implementation, and efficiency improvement.

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.

• 此職位屬於聯發科技modem客戶工程團隊，該團隊任務為與內部研發團隊合作，支援全球一流智能手機客戶的無線通訊技術(包括LTE、5G Sub-6GHz和5G mmWave技術)。 • 此職位主要職責在與客戶合作過程中帶領技術討論，並與內外部不同團隊合作，共同討論並解決客戶問題、滿足需求。 • 此職位需具備深入研究技術問題、了解客戶需求分析與功能開發的能力及良好應變能力。 • This is an exciting role in the MediaTek wireless technology group within the modem customer engineering team working with internal R&D team and support tier-1 global smartphone customers in wireless technologies (LTE, 5G Sub-6GHz, and 5G mmWave technologies) • You will play a key technical role in working with internal and external stakeholders to lead technical discussion and drive customer issues to resolution. • This is a dynamic position that will interact and collaborate with different teams and site location. • Ability to deep dive technical issues, understand customer requirement analysis and feature development. Looking for 4G/5G Modem Protocol / System Engineer with technical breadth in the protocol stack.

1. Work with design teams to do performance sign off in pre-silicon stage 2. ESL platform and simulation/emulation technology development. 3. Model development (includes behavior modeling/ cycle approximate modeling)

1.PCB 電路及layout 的設計及驗證 2. 客戶端平台之開發驗證

1. LCD Monitor IC相關的韌體開發 2. 影像處理相關應用與支援客戶產品開發 3. LCD Monitor周邊軟體tool開發

• Lead the DV effort of a high-end CPU project. • Manage, coach and guide DV engineers. Follow up status and keep up the schedule. • Architect and implement top-module testbenches and their components using UVM-based methods. • Lead the effort of building in-house BFMs to facilitate co-sim based module level verification. • Architect and implement formal verification based module level testbench. • Work with the design team to create testplans. Implement checkers/assertions/coverage check points. • Work with validation folks to improve design visibility

1. DFT architecture exploration & evaluation for next-gen process node & package technology of MediaTek: * Scan chain insertion & ATPG pattern generation * Pattern validation through simulation & silicon analysis(pass/fail, shmoo, fail log, etc.) * Diagnosis to help manufacture process improvement 2. Co-work with SoC architect, RTL designer, physical design engineer, and package engineer to define best architecture for 3D-IC: * PPA(Performance/Power/Area) impact analysis & mitigation via DFT innovation * Develop & integrate DFT-related RTL design modules to test chip

開發模擬以及PoC測試平台, 工作包括 - 實作分散式運算架構 - 利用Kubernetes container 管理架構 - 實作概念性驗證

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.

1. WiFi/BT/GPS/FM connectivity IC驗證及系統應用 2. PMIC or PCIe 系統設計及驗證 3. Connectivity 系統性能優化及驗證 4. Connectivity參考電路設計及驗證 5. 協助客戶量產過程時提供技術支援

1. Develop systematic algorithms to alleviate design challenges, including implementation, process what-if assessment, system performance evaluation, in advanced nodes or package 2. Closely work with foundry and EDA vendors to define innovative HPC, Chiplet design methodologies 3. Explore new EDA features and define improvement direction from MTK product requirements

1.Smartphone SLT軟體整合(C/Android) 2.Smartphone SLT量產測試自動化流程改善