Logic Synthesis Jobs In China - 10 Job Positions Available

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Position Description: Responsible for development and maintenance of the synthesizer for Palladium. Implementation for new VHDL/Verilog

Company: Qualcomm China Job Area:Engineering Group, Engineering Group ASICS Engineering General Summary: Requirements: Deep expertise in ASIC development, especially logic design, RTL coding, verification, synthesis, timing closure and physical design flow Deep expertise in Ethernet switch architecture, including:

Company: Qualcomm China Job Area:Engineering Group, Engineering Group ASICS Engineering General Summary: Requirements: Familiar with ASIC development, especially logic design, RTL coding, verification, synthesis, timing closure and physical design flow Familiarity with Ethernet switching concepts, such as: L2/L3

Company: Qualcomm China Job Area:Interns Group, Interns Group Interim Engineering Intern - SW General Summary: 1. Handle synthesis/DFT logic insertion and ATPG pattern generation. 2. Handle physical design tasks from verilog netlist to GDS. 3. Handle Chip/Block floorplan,

The NVIDIA GPU clocks group is looking for an excellent Senior ASIC Design Engineer to join the team. The Team is responsible for crafting all aspects of GPU clocking. We collaborate with the frontend design team

The NVIDIA SOC group is looking for ASIC Design and Verification Interns to join the SysASIC and Clock teams. In this position, you will participate in the design and verification of complex reset/fuse/ism/sysctrl/boot and clock-related logic for

WHO YOULL WORK WITH You will sit at the center of Converse’s Greater China Merchandising ecosystem, serving as the connective tissue between data, process, and execution, supporting the Footwear and Apparel & Accessories business units. You

【Bambu Fellow Program】3D Foundation Model Campus 北京、深圳、上海 实习 研发 - 算法 日常实习 职位描述 About Bambu Fellow Program：We are seeking the world’s most brilliant young researchers. Here, you will do more than just train models—you will leverage