IT工程師_終端使用者技術

Key Responsibilities 

1. Enterprise GenAI & Agent Foundation (The Core) 

• Unified Agent Gateway: Architect a next-gen gateway that goes beyond simple LLM routing. Design the Agent Router capable of decomposing complex user intents and dispatching them to specialized agents (Coding Agents, HR Agents, Supply Chain Agents) or foundational models based on cost/performance/capability. 

• Agentic Runtime & Orchestration: Define the standard protocols for agent-to-agent communication, tool registration, and state management. Build the 〝operating system〝 where agents live, execute, and collaborate. 

• Generative UI (GenUI): Lead the architecture for Dynamic Interface Generation. Move beyond static chat boxes; design systems where the AI can generate bespoke UI components (charts, forms, interactive widgets) on the fly to best present data to the user (e.g., using Vercel AI SDK concepts or server-driven UI). 

2. Agentic RAG & Multi-Modal Intelligence 

• Agentic RAG Architecture: Shift from passive retrieval to Agentic RAG. Design workflows where agents actively plan queries, critique their own search results, and iteratively reason over data before answering. 

• Multi-Modal Data Strategy: Architect pipelines that ingest and retrieve across modalities—text, technical schematics (images), and code repositories. 

• Dual-Database Strategy: Implement a hybrid memory architecture combining Vector Databases (for semantic similarity) and Graph Databases (for structural relationships/GraphRAG) to ensure deep, context-aware retrieval. 

3. Generative BI & Data Products 

• Semantic Layer & Text-to-Insight: Bridge the gap between unstructured questions and structured Enterprise Data Warehouses. Architect the semantic translation layer that allows agents to reliably query SQL/NoSQL databases without hallucinating schema. 

4. Solution & Enterprise Architecture Strategy 

• The 〝Big Picture〝 Integration: Act as the bridge between GenAI innovation and legacy Enterprise IT. Ensure the platform integrates seamlessly with existing Identity Providers (SSO/IAM), ERPs (SAP), and PLM systems. 

• Blueprinting & Standards: Own the technical roadmap and architectural decision records (ADRs). Define the 〝Golden Paths〝 for internal development teams to build their own agents on top of our platform. 

• TCO & Governance: Architect for cost-efficiency (token optimization, caching strategies) and compliance. Define the patterns for data privacy and 〝Human-in-the-Loop〝 validation within agent flows.

1) 設計與建置 IT 客服 AI 支援方案 (如：服務品質監控、智慧助理)。 

2) 應用 IaC (基礎設施即程式碼) 原則，管理終端設備及用戶問題排除。 

3) 分析全球 IT 客服營運數據，優化服務流程及使用者體驗。 

4) 持續研究與導入新技術趨勢並提出改善建議 (如：無密碼驗證、WoA、AI PC)。 

1) Design and implement AI-driven IT Helpdesk support solutions (Quality Assurance, Helpdesk Assistant) to enhance service quality. 

2) Apply IaC (Infrastructure as Code) principles to manage OA endpoints, issue resolution and user requests. 

3) Analyze Global Service Desk operations and leverage data to optimize support processes and user experience. 

4) Continuously research and adopt new workplace tech. and trends, proposing improvements. (e.g., Passwordless, WoA, AI PC)

At MediaTek, we are at the forefront of enabling device+cloud hybrid architectures for generative AI. On-device AI offers significant advantages, including low latency, enhanced security, privacy, and personalization through fine-tuning to meet specific user needs. A critical component of this technology is the AI compiler, which involves code generation and optimization to maximize runtime performance and minimize memory footprint. We are seeking talented individuals to join our team and contribute to this cutting-edge field. 

Key Responsibilities: 

1. Develop and optimize AI compilers for on-device applications. 

2. Conduct performance analysis and implement optimizations for runtime efficiency and memory usage. 

3. Work closely with customers to understand their needs and provide tailored AI solutions.

1. IC功能驗證  

2. 公板/建議線路設計開發(OrCAD/PADS)  

3. 協助FAE/客戶解決硬體問題

1. 與業務使用者進行需求訪談與流程討論 

2. IT 相關服務的專案管理 

3. 公司商務領域的數位化（應用系統、人工智慧、數據）轉型 

1. Engagement and Process Discussion with Business Users. (FIN domain) 

2. Project Management on IT Service 

3. Digitalization (application, AI, data) Transformation for business domain

1. 高速Serdes系統技術開發(200Gbps+), 包括電通訊與光通訊(optical interconnect) 

2. 定義系統技術規格並與設計團隊(Analog, Digital, Algorithm)討論系統架構, 建立模型模擬評估 

3. Serdes 關鍵技術評估與開發( e.g., Next Gen Serdes, optical nonlinearity compensation, CPO technology) 

4. 協助Serdes IP驗證問題分析

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. 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

• 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.