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Open nowPosted 4 days ago

AI for 芯片研究员

vrfi1sk8a0/referral190 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAI for 芯片研究员vrfi1sk8a0/referral · Beijing, Chinese Mainland

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The clock on this job

Early applications get read.

13.1% of postings close within 7 days. Measured by our own scanner across the market. vrfi1sk8a0/referral postings stay open a median of 4 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.1%7 days
  4. 21.1%14 days
  5. 35.8%30 days
  6. 59.0%60 days
This job: posted 4 days ago

vrfi1sk8a0/referral median: 4 days open

The posting

团队简介 我们正在组建一支 AI for 芯片团队，使命是用先进智能赋能半导体行业：一方面持续提升基座模型的芯片能力，将专家经验沉淀为 Benchmark、数据与自动化框架；另一方面将这些能力落地到真实业务场景，用实战反哺模型迭代。 这是一支兼具研究深度与工程能力的团队，我们既欢迎在某一芯片领域深耕多年的专家，也欢迎能够 vibe 芯片的 AI-native 新人。

岗位职责 1. 定义高价值的芯片设计问题，沉淀标准化方法、数据集、Benchmark 与 Harness，并与算法团队协作，将专家经验转化为基础模型的芯片设计与验证能力； 2. 围绕芯片设计任务，研究大模型在设计理解、方案生成、工具使用与结果分析中的能力，构建高质量训练数据与评测方法，推动模型芯片能力的持续提升； 3. 将 AI 能力应用于真实芯片研发场景，提升设计效率与质量；检查合成数据的正确性，验证数据合成效果，并将问题分析与实战经验反哺模型及自动化框架； 4. 参与芯片设计数据平台、EDA 工具链与自动化评测基础设施的设计与建设，根据项目分工参与数据清洗及 SFT/RL 实验，与团队成员灵活协作，共同推动 AI 与芯片设计的结合落地。

任职要求 1. 微电子、集成电路背景，有AI赋能落地实践经验的工程师或项目负责人 2. 具备全流程实际操作的流片经验，实际经历过设计、仿真验证、物理实现、签核及流片等关键环节，并在至少一个方向具备深入的实践经验，能够清晰说明本人在项目中的工作与贡献； 3. 具备出色的问题定义与抽象能力，能将复杂、模糊的芯片设计需求转化为可度量、可验证的方法与工具；熟悉至少一套 EDA 工具链，具备脚本编写与自动化能力； 4. 具备良好的跨团队协作能力与 Ownership，能够在研究与工程之间灵活切换，与算法团队共同推进数据建设、模型评测及实际应用。

加分项 1. 同时具备芯片某一领域的专业深度与软件工程的广度； 2. 有将芯片设计与大模型或 Agent 结合的经验，如设计生成与优化、自动化验证、EDA 工具调用、芯片设计 Harness 建设等； 3. 在芯片设计项目、相关学术研究、开源硬件、EDA 工具开发或技术竞赛中有突出成果； 4. 对 AI for 芯片的前沿方向有深入理解与实践，如训练数据合成与质量评估、SFT/RL、设计空间探索及工具反馈驱动的模型优化等。

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