轉職熱搜工作

We are looking for candidates that can communicate complex engineering subjects effectively to cross functioning technical teams and upper management. Strong DFT and testing skills will be put to good use. Successful handling with many external teams from pre-silicon phase cross to post-silicon on advance silicon and assembly process. Key Responsibilities • Drive DFT Excellence: Define DFT architecture specifications that enhance ATE and production test environments, optimize test costs, and improve quality across future MTK ASIC product portfolios. • Product test planning capability: Manage comprehensive post-silicon flow optimization, and test deployment for new product launches • Manufacturing Integration: Serve as a key contributor within MTK’s Global Quality and Operations organization to deliver optimal manufacturing test solutions from early product conception through post-silicon validation • Design Collaboration & Quality Assurance: Partner closely with design teams to ensure accurate implementation of DFT structures and compliance with specifications.

- 針對下一代資料中心產品，推動並導入 SoC 層級的先進功耗優化技術；與 RTL、合成與布局團隊協作，完成低功耗功能的架構規劃與導入。 - 於各設計階段（RTL → 閘級 → 佈局後）進行功耗估算與分析，提出可執行的省電建議與改善方向。 - 與 Tier-1 客戶合作制定功耗規格，並提供下一代產品的功耗估算結果與技術說明。 - 支援樣品回片後的功耗量測比對（silicon correlation）與功耗相關問題除錯（sample back / bring-up）。

- 透過推動跨部門在技術需求、介面定義與交付項目上的一致性，協調先進封裝解決方案的開發（例如 CoWoS、2.5D/3.5D 整合，以及 Chiplet 架構）。 - 主導 SoC Floorplanning 以最佳化 PPA（功耗、效能與晶片面積），並在時序收斂、繞線壅塞、電源域邊界，以及 PDN／熱設計等考量間取得平衡。 - 與封裝團隊合作制定並優化 Ball/Bump 配置（bump/ball map），以滿足 SI/PI、電流承載能力、可製造性與可靠度等需求。

加入 MediaTek「先進製程平台 DFT」團隊，你的工作直接影響 N4/N3/N2 及更先進世代 Cloud ASIC 的可靠度與良率。 - DFT 架構與插入：針對先進節點 SoC 及 chiplet/3D-IC 設計，定義並實作 Scan（full-scan、compressor）、MBIST、BSD/JTAG 架構；使用 Synopsys / Siemens (Tessent) EDA 工具執行端到端插入流程。 - ATPG 與 Advanced Fault Model：開發並優化 stuck-at、transition delay、cell-aware、path-delay 等 fault model 的 ATPG pattern；驅動 fault coverage closure 並交付 DRC-clean pattern。 - 模擬與驗證：透過 gate-level simulation（VCS/Xcelium）驗證 DFT 邏輯正確性；解決 DFT rule violation 與 coverage gap，確保 tapeout 品質。 - 後矽驗證與測試：主導 CP / FT / HTOL / HVS 各階段 DFT 工作，包含 test mode 驗證、scan chain 連通性測試、MBIST 執行與 repair 確認。 - Volume Diagnosis 與 Yield Ramp：運用 scan/MBIST diagnosis 資料分離系統性缺陷，與製程及 FA 團隊協作加速 yield learning 與技術成熟。 - RMA / DPPM 除錯：利用 DFT diagnosis 流程調查 field return，協助降低 DPPM 並防止 escape。 - 產業前沿：持續追蹤 Cloud ASIC chiplet 測試趨勢、ATE 技術進展與 EDA 新功能，主動將新觀念帶入團隊。 職務要求

We are looking for talented engineers to join our GPU Architecture team. In this role, you will be at the forefront of defining the next generation of mobile high-performance GPUs. You will be responsible for developing a C++ based model, which serves as the primary tool for architectural exploration, bottleneck analysis, and performance projection before silicon availability. Whether you are a fresh graduate with a strong passion for computer architecture or a seasoned veteran in performance modeling, we invite you to help us push the boundaries of graphics rendering and compute efficiency.

- Collaborate with architects and cross-functional teams to understand GPU specs and define verification strategies. - Develop SystemVerilog/UVM test frameworks and co-simulation environments; verify GPU logic at unit, subsystem, and top levels. - Create and execute verification test plans, focusing on functional coverage. - Generate random and directed test sequences; maintain testbench, scoreboard, BFMs, and regression. - Perform RTL and coverage analysis; optimize test scenarios and address bug escapes. - Support performance verification, emulation, data collection, debugging, and PPA improvements. - Conduct formal verification.

Role and Responsibilities • Collaborate with architects and design leads to define and document micro architecture of sub-modules of shader subsystem • RTL coding and deliver high quality scalable design to meet PPA requirements • Collaborate with verification team for feature description, testplan, and coverage closure • Assist DV engineers for debugging functional, performance, power test failures • Collaborate with synthesis and PD team for timing and area closure • Collaborate with power team to identify power saving opportunities and meet power target • Assist block team manager in strategy, planning, scope estimation, and progress reporting

Responsible for GPU HW development environment tool/flow maintenance and database (perforce) management. Effectively support DE/DV smooth development.

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

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