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Open nowPosted 75 days ago

数字后端设计工程师

li/referral788 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now数字后端设计工程师li/referral · Beijing, Chinese Mainland
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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. li/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 75 days ago

li/referral median: 1 days open

The posting

1、全流程物理实现:负责数字芯片从网表到最终版图交付的完整物理设计全流程,保障芯片项目顺利流片。 2、AI与自动化开发:借助 Claude Code、Codex 等 AI 辅助编码工具,开发并持续迭代芯片后端设计自动化工作流。负责沉淀相关AI command、skill、mcp、sub-agent,提升团队研发效率。 3、布局布线与约束管理:参与芯片顶层及模块级布局规划、时钟树综合与布局布线。处理先进工艺下的复杂布线约束,包括但不限于 PDN Pattern、OCV、DFM、DTCO。 4、PPA优化与签核:开展芯片的功耗、性能、面积优化。负责全芯片的静态时序分析、电源完整性、信号完整性分析以及 DRC/LVS/ERC 等物理验证工作。 5、前后端协同:基于对端到端 RTL 设计、验证及逻辑综合的深刻理解,与前端设计团队深度协同,在项目前期介入规划以规避物理实现风险。

1、学历专业:本科及以上学历,微电子、电子工程、集成电路等相关专业基础扎实。 2、项目经验:3年以上数字芯片后端物理设计经验,具备先进工艺下完整大芯片成功流片(Tape-out)实战经验。 3、核心技能:精通数字后端物理设计与签核全流程,熟练使用行业主流后端 EDA 工具(如 Innovus, FC, PT, Voltus, Redhawk, Calibre 等)。 4、AI 与编程能力:熟悉 AI Coding 技术,能熟练运用 Claude Code / Codex 辅助开发。具备优秀的 Python、TCL、Shell 或 Perl 等脚本开发能力,可独立基于AI Coding解决流程自动化问题。 5、跨域知识:具备RTL 设计、验证与逻辑综合的相关经验或深刻理解,能高效拉通前端与综合流程。了解PDK、工艺DRM,能与制造团队针对良率问题展开交流。 6、加分项:有搭建 AI 自动化设计工作流经验,或具备 CPU/NOC/AI 加速器等复杂模块后端设计经验者优先。

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