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• 面板驅動IC 或 SoC 設計

This internship shall last at least 4 months at full-time or 2-4 days per week part-time. Please make sure you will be able to complete this period before sending your application. * Studying and developing RTL code using Verilog to accelerate kernels for Big Data platforms * System debug & Validation of FPGA prototype systems * Performance analysis and tuning of workloads on heterogeneous platform

1. New Product CP/FT testing program development 2. Mass Production RMA analyzing, test pattern enhacement 3. CP probe card and FT load board out-sourcing manufacturing evaluation

Developing products and enhancing yield through Foundry Effectively managing NPI issues across teams, ensuring timely coordination and leading the transition to mass production Producing well-organized characterization reports, meticulously analyzing data to identify strengths and weaknesses in mass production implementation Proficiently communicating with customers and vendors, adept at facilitating tasks across internal teams and external parties Conducting advanced process and vendor evaluati

參與SSD韌體專案開發，進行硬體控制器的設計和實現，以達到高性能和高可靠性的要求。 參與新功能的研發並進行性能評估，確保SSD韌體的不斷優化。 與HW Engineer 密切合作確保專案順利執行。

格及系統設計規劃。成為專業的數位 IC 研發工程師，與我們一同開創科技趨勢新局！ 【工作內容】 As a IC Design Engineer, you will design, implement and verify products that use FPGAs and/or ASICs. 1. Participate in the micro architecture and design partition within the FPGAs and/or ASICs and implement design blocks using

面板驅動IC或SOC設計 影像處理與影像壓縮設計 高速介面數位控制(如MIPI/ISP等)

工作內容 Knowledge of System Verilog, digital simulation and debug. Exposure to UVM is desired. Familiar with USB design is a plus. DV Experience: 6~10 years 薪資架構 13個月計算, RSU 另計

【工作內容】 1. SoC level and IP level verification methodology 2. Develop a verification plan and Integrated verification environment 3. Integrate VIP into the SOC verification platform.

We are now hiring for a Senior Mixed-signal Design Engineer! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can