轉職熱搜工作

1. 分析AI應用業務落地需求，與相關部門和用戶溝通，了解系統需求和功能 2. 分析和解決系統運行中的問題，找出系統瓶頸 (包含模型推理及應用pipeline) 3. 持續改進系統性能，提出優化建議和實施方案 4. 與其他工程部門充分溝通，共同找出可行優化方案

1. AI處理器和相對應周邊IP/系統驗證環境開發 2. 從IP到系統的功能驗證和自動化環境 3. 開發低耗電和效能的測試 4. post-sillicon除錯 5. emulator 環境建立

1.Propose design verification plan and do the execution based on IP and system HW architecture/application 2.Develop design verification environment 3.Develop required verification methodology and adopt into project

• 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

CPU Physical design, - floorplanning, - timing closure - Physical verficiation - DFT

1. 智慧型手機系統記憶體與儲存: DRAM (LPDDR4, LPDDR5, LPDDR6...) / Storage (UFS, eMMC...)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. CPU system design and performance analysis 2. System bus architecture and integration 3. IP and system verification

1. CPU功耗分析 (設計 vs. 量測), 確保CPU功耗體質 2. CPU最大電流分析 (設計 vs. 量測), 驗證過電流保護機制確保系統穩定性 3. PMIC+PDN+CPU 功耗效率優化 1. CPU power pre-silicon vs. post-silicon correlation. Ensure CPU power quality 2. CPU max. current pre-silicon vs. post-silicon correlation. Validate max. current protection technique for system stability 3. PMIC+PDN+CPU power efficient optimization

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.