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Open nowPosted 3 days ago

PI/SI专家

li/referral787 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowPI/SI专家li/referral · Beijing, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on li/referral's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

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. li/referral postings stay open a median of 10 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 3 days ago

li/referral median: 10 days open

The posting

1. 负责高性能芯片封装的 信号完整性（SI）与电源完整性（PI）分析与设计优化。 2. 独立开展通道建模、阻抗控制、反射/串扰/眼图/抖动等 SI 分析，以及 IRDrop/EMI/电源噪声等 PI 分析。 3. 推动封装结构、走线、电源网络（PDN）、材料、互连方式等方案优化。 4. 与封装设计、IC 设计、PD、工艺、OSAT 合作，解决系统级 SI/PI 问题。 5. 参与 Chiplet、2.5D/3D、CoWoS/FOWLP 等先进封装项目的仿真与验证。

1. 5 年以上 SI/PI 或封装信号/电源分析经验，有高性能芯片或先进封装项目经验。 2. 熟练使用 HFSS/Sigrity/ADS/Redhawk 等工具，可独立完成 SI/PI 仿真与调优。 3. 熟悉封装结构、材料、电源网络设计、互连方式（Bump/RDL/Interposer 等）。 4. 理解高速接口（PCIe/CXL/HBM/SerDes）信号链路特性者优先。 5. 具备跨团队推进能力，能独立承担系统级 SI/PI 问题分析与解决。

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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against li/referral's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on li/referral's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    li/referral's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

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Before you press

Straight answers

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What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

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