轉職熱搜工作

1.軟體規劃製作。 2.自動控制產品規劃、設計、監控。 3.電氣工程系統規劃、設計、監控，程式設計。 4.負責自動化設備、系統介面之維護及改善。 5.負責自動化系統各類規範與相關文件之撰寫、修改。

1. 開發並整合 AI 智能體框架 2. 開發並整合軟體工程系統，以優化軟體開發生命週期 3. 蒐集與分析系統需求及系統設計 4. 支援緊急系統功能或效能問題處理

1.PLC程式規劃設計編寫。 2.自動化設備機台電控迴路設計、修改。 3.系統軟硬體測試、系統整合調校 。 4.負責自動化設備、系統介面之維護及改善。

1.軟體規劃製作。 2.自動控制產品規劃、設計、監控。 3.電氣工程系統規劃、設計、監控，程式設計。 4.負責自動化設備、系統介面之維護及改善。 5.負責自動化系統各類規範與相關文件之撰寫、修改。

職位與職責： 1. 定義 GPU 編譯器軟體架構及介面。 2. 開發/實作 GPU 編譯器流水線、連結以及各種最佳化/轉換。 3. 與驅動程式團隊及硬體團隊合作，實作新的 API 與硬體功能。 4. 與驅動程式團隊及硬體團隊合作，改善/調整效能與功耗。 5. 執行並交付專案，以達成里程碑與進度要求。 6. 分析並除錯程式碼生成相關問題。 7. 分析並影響未來 GPU 架構的設計。 8. 與內部及外部團隊建立可靠且值得信賴的合作關係。

您將擔任面向關鍵客戶的 AI 架構負責人（Architecture Owner）與主要窗口（Directly Responsible Individual），與客戶及內部研發/產品/平台團隊密切協作，推動 AI 相關需求定義、系統架構設計、效能與品質目標落地、以及問題閉環。此角色需要同時具備深度技術能力與跨組織推動能力，能將客戶需求轉化為可交付的技術方案與量產路徑。

車用電源系統，車用電子，12V or 48 V 等產品的系統電源設計/驗證之電源應用工程師，需與Designer 、PM、SW 等單位討論系統的電源設計的競爭力的分析，並驗證系統Power solution，撰寫design note 等文件，協助處理客戶開案並量產的相關系統電源問題。

• Android/ Linux 之PMIC、電池、充電與電量驅動程式/框架開發，並支援客戶問題處理與客製化需求。 • 開發電源管理解決方案，以最大化能源效率並優化電子系統的功耗。 透過測試、模擬以及硬體與軟體元件的優化，分析並提升系統效能。 • 針對功耗與效能面向進行完整的分析與驗證，確保符合業界標準與客戶需求。 • 系統軟體整合的開發與整合。

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.

Role and Responsibilities • Responsible for GPU cluster uArch specification, PPA (power, performance and area) optimization for industry-leading GPU hardware IP • Collaborate with Arch/Model/SW team, develop cluster level HW specification that meets feature functionality and PPA metrics • Collaborate with Arch/SW/Design team to identify and solve performance bottlenecks, power/area inefficiency issues • Guide IP design process all the way from RTL coding, verification to tape out and post-silicon debug • Proficiently use AI agent and tools to improve RTL coding, function debug and PPA analysis productivity • Execute & deliver to meet milestones/schedules. • Analyze and debug code pre-silicon and post-silicon issues. • Analyze and influence future GPU architectures. • Construct reliable & trustable relationships across teams internally & externally. • Delivering best in class GPU IP for mobile, automotive, laptop and ASIC applications