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英伟达ASIC TOP Floorplan Design Engineer

社招全职地点:上海状态:招聘

任职要求


• Masters Degree in Electrical Engineering, Computer Science, or Computer Engineering or equivalent work experience.
• At least 3+ years of relevant work experience.
• A deep hardware engineering background with a concentration in VLSI and/or Computer Architecture.
• Experience in Verilog, System Verilog or similar HVL.
• Experience with CAD and physical design methodologies (flow and tool develo…
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工作职责


• Working with architects, design leads, physical design leads and package leads, you will develop and to craft and optimize floorplans during early chip development.
• Drive the area review process and collaborate with the ASIC design team to identify area, interconnect and floorplan improvement opportunities.
• Solve timing and routing congestion issues with physical and ASIC design teams by influencing early design and physical implementation decisions.
• You will build tools and improve existing infrastructure to optimize chip area and speed of execution.
包括英文材料
R+
Python+
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• Working with architects, design leads, physical design leads and package leads, you will develop and to craft and optimize floorplans during early chip development. • Drive the area review process and collaborate with the ASIC design team to identify area, interconnect and floorplan improvement opportunities. • Solve timing and routing congestion issues with physical and ASIC design teams by influencing early design and physical implementation decisions. • You will build tools and improve existing infrastructure using AI extensively to optimize chip area and speed of execution.

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• Working with architects, design leads, physical design leads and package leads, you will develop, craft and optimize floorplans during early chip development. • Drive the area review process and collaborate with the ASIC design team to identify area, interconnect and floorplan improvement opportunities. • Solve timing and routing congestion issues with physical and ASIC design teams by influencing early design and physical implementation decisions. • Build tools and improve existing infrastructure using AI extensively to optimize chip area and speed of execution.

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