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Open nowPosted 60 days ago

DFT

li/referral787 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen nowDFTli/referral · Shanghai, 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.

11.9% 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. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 60 days ago

li/referral median: 1 days open

The posting

1. 负责 SoC/CPU/NPU 等芯片的 Scan、MBIST/LBIST、ATPG、Compression、JTAG 等核心 DFT 模块设计与实现。 2. 完成 DFT 规划、插入、约束、验证，推动覆盖率提升与可测性优化。 3. 参与 DFT 与 RTL/PD/验证/ATE 协同，解决时序、功耗、链路、DFT-PD 冲突等关键问题。 4. 执行 ATPG Pattern 生成、故障仿真、Diagnosis，并参与量产测试优化。 5. 支持流片及 Post-silicon DFT Debug，定位故障链路并优化可靠性。

1. 5 年以上 DFT 经验，参与过中大型 SoC 的量产项目。 2. 熟悉 Scan/ATPG、MBIST/LBIST、Boundary Scan、Repair 机制与相关工具链。 3. 能独立完成 DFT 插入、时序检查、覆盖率分析与链路调试。 4. 熟悉 Synopsys/Cadence/Mentor DFT 工具，了解 ATE 测试流程。 5. 具备跨团队沟通与问题推进能力，有先进工艺经验者优先。

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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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