交大專區

• Define GPU compiler software architecture and interfaces. • Development/implement GPU compiler pipeline, linking and various optimizations/transformations. • Collaborate with Driver team, HW team to implement new API & HW features. • Collaborate with Driver team, HW team to improve/tune performance & power consumption. • Execute & deliver to meet milestones/schedules. • Analyze and debug code generation issues. • Construct reliable & trustable relationships across teams internally & externally.

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. Smart phone系統low speed (SPI/SPMI/I2C/I3C/…)和SerDes (CSI)驗証 2. 系統驗証方法研究與開發 3. 規畫驗証計畫 (test plan, test case) 4. 自動化測試環境開發

1、工作內容 • 規劃後端微服務架構 • 自動化流程部署設計 • 線上服務維護與除錯 2、團隊技術 • 使用 Gitea 進行版本控制及審核 • 使用 Jira 及 Confluence 控管專案進度及文件 • 使用 Gitea Action 打造自動化部署系統 • 使用 Go, Python, Node.JS 語言開發微服務架構 • 使用 Restful API, GraphQL 或 gRPC 進行服務溝通 • 資料庫使用 SQLite, Postgres 或 MySQL • 雲平台使用 Azure, AWS 或 GCP • 透過 Terraform, Pulumi 管理 Infrastructure • 使用 Grafana + Prometheus + Loki 監控各種服務狀態 • 使用 Kubernetes 部署服務 3、崗位要求： • 有 Go 語言或類似經驗，熟悉 gRPC 及 RESTful API • 有能力根據設計原則 design principles 及設計模式 design patterns 寫出 clean, maintainable, and performant code • 有建立大型且可擴展分布式系統，能理解熟悉微服務架構，Kubernetes，容器等相關技術 • 有使用 Kibana、Loki、Grafana、Tempo、OpenTelemetry 和 Prometheus 等可觀察性、監控、警報、追蹤和日誌記錄工具的經驗。 • 能夠指導團隊合作整體設計和程式碼架構，並不斷努力改進它，能夠為團隊編寫風格指南以供遵循。 • 五年以上相關軟體開發經驗，資工/電機相關科系畢業

1. 規劃/設計開發板 (EVK)的規格, 電路, 以及PCB layout 2. 電源架構設計，包含制定規格和電路設計/驗證 3. 調研客戶產品需求以及競爭力分析 4. 全球客戶專案管理以及技術支持

1. Develop systematic methodology to alleviate design challenges, including FIP development, synthesis, DFT, physical implementation, 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.

• 執行5G/B5G基帶算法設計，包括(但不限於)波束成形機制、校準方法、射頻暴露控制等。 • 進行機器學習/人工智慧算法研究，尋找系統性能優化的潛在應用。 • 能夠在申請技術經理職位時指導初級工程師。 • 能夠協調多地點運營並參加跨時區會議(優先考慮)。

SoC測試助理: 負責MediaTek手機平板車用在系統上的測試與測試工具開發

Our team‘s mission is to leverage next-generation technologies to enhance productivity in MediaTek‘s various processes. This technical position requires a combination of knowledge in IC design and expertise in machine learning/generative AI to identify and define opportunities, design feasible and stable solutions, and improve processes to enhance product quality. We are looking for engineers and data scientists who are passionate about introducing new ideas from diverse fields, enjoy working with complex data, uncovering insights, and are eager to tackle challenges. As a key member of a small and versatile team, you will provide the most appropriate solutions through rapid iterations. In terms of soft skills, you need to have a proactive attitude, an open and continuously adaptive learning ability, excellent verbal and written communication skills, and the ability to collaborate across teams. In terms of hard skills, you need to have strong programming abilities, sufficient knowledge 我們團隊的使命是利用下一代技術，協助MediaTek在各研發流程中提升生產力。此職缺為技術職，需結合IC設計領域知識與機器學習技術/生成式AI，識別並定義機會點，設計可行且穩定的解決方案，以改善研發流程並提升產品品質。 我們正在尋找熱衷於從多元領域引入新想法的工程師及數據科學家，喜歡處理複雜數據、發現洞見，並樂於挑戰困難。作為一個小而多才多藝的團隊關鍵成員，你將以快速迭代的方式提供最適當的解決方案。 在軟技能方面，你需要具備主動積極的心態、開放且持續調整的學習能力、良好的口頭與書面溝通技巧，以及跨團隊協作的能力。硬技能方面，你需要有良好的程式撰寫能力，對機器學習有足夠認知，能與團隊成員合作，並有機會與全球的合作單位有效展開協作。

As an Digital IC Design Intern, 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. AI SW task management and SW strategy development 2. Software developments of AI/GAI and its applications on automotive and Smart home products 3. OEM engagement for new application exploration 1. 負責AI SW任務管理與SW策略制定 2. 負責AI/GAI軟體開發及其在汽車、智慧家庭產品的應用 3. 參與OEM新應用探索

1) 數據庫設計：參與數據庫的設計和架構規劃，以滿足業務需求。 故障排除：解決數據庫運行中的問題，並提供技術支持。 2) 數據庫維運：負責數據庫的日常維護工作，包括監控、備份、恢復和升級。 3) 性能監控：監控數據庫系統的性能，並進行必要的優化。 4) 合規性與安全：確保數據庫遵守相關法規和公司政策，並保護數據不受未授權訪問。

We are looking for experienced ML/DL candidates to join our team of PhD-level researchers and interns. The ideal candidate is open-minded, passionate about pushing learning theory, and keen on the opportunity to challenging convention. In a flexible and supportive environment, one of your major responsibilities is to push the state of the art of learning theory, to obtain insights beyond mythical theories as well as to apply the right solution to novel application areas such as AI-designed IC and General Intelligence Conversation. Furthermore, you shall actively engage with worldwide colleagues and academics to nurture and build a collaborative and effective R&D environment. We welcome all ML/DL backgrounds, including computer vision, speech and NLP, and robotics.

We are looking for aspiring ML/DL candidates to join our team of researchers. The ideal candidate is open-minded, passionate about pushing learning theory, and keen on the opportunity to challenging convention. Your ideas shall be based on sound mathematical justification, yet can lead to scalable and practical solutions. In a flexible and supportive environment, one of your major responsibilities is to push the state of the art of learning theory. Furthermore, through collaboration with worldwide colleagues, you will have the rare opportunity to apply advanced Deep Learning theories to novel application areas such as AI-designed IC and General Intelligence Conversation. We welcome all ML/DL backgrounds, including computer vision, speech and NLP, and robotics.

Android平台相關軟體問題，SCM, Code line管理等...主要客戶聯絡窗口。 分析、釐清並解決或轉交客戶回報的系統層級問題。 進行問題根因分析，並提供即時解決方案或替代方案。 與內部工程團隊協作，確保問題有效解決 進行Android系統的性能分析與優化。 支援Android平台的整合，包括問題排查、除錯與驗證。 撰寫問題分析、解決方案及實踐文件，供內外部參考。 與國內外客戶（包含美國）有效溝通，了解需求並提供技術支持。 參與客戶會議、技術討論及專案檢討等相關活動。

1. 設計、開發、驗証及改善行動安全方案或功能. 2. 維護安全作業系統. 3. 從硬體+、軟體架構、系統及軟體模組角度進行安全評估及攻擊分析. 4. 分析系統及安全問題.

(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。

【職務概述】 我們正在尋找具前瞻視野與創新精神的工程領導者，加入生成式 AI 應用平台團隊，打造企業級 GenAI 平台，協助內部團隊快速開發 AI 應用與智能代理，推動數位轉型。您將領導團隊建構關鍵能力，包括 RAG 框架、多代理分析平台與 HyperAutomation 模組，並推進多代理協作、模型路由、LLMOps 標準化與負責任 AI 治理。 【主要職責】 策略與領導：帶領跨領域團隊，制定技術藍圖與 KPI，導入 RAG 2.0、知識圖譜、AI Agent 協作等技術。 平台研發：設計與維運 RAG 框架、多模態分析 Agent、AI 自動化模組，導入 MCP、LangGraph 等前沿技術，強化平台效能與治理。 利害關係人協作：作為技術策略夥伴，協助事業單位導入 GenAI，與資料、業務、安全團隊共創 AI 解決方案，推動開發者生態與負責任 AI 架構。

1. 負責 WiFi baseband 演算法效能調校。 2. 進行 WiFi 系統效能分析與除錯。 3. 進行WiFi新功能研究並進行概念驗證（POC）。