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Open nowPosted 3 days ago

热力工程专家

li/referral787 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now热力工程专家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. 负责芯片、封装、模组级的 热设计与热仿真分析，包括稳态/瞬态热行为建模与优化。 2. 完成散热结构方案（风冷/液冷、热界面材料、散热片、VC/热管等）的设计与验证。 3. 分析封装内/模组内的热堆积、热点分布、材料热特性、界面热阻等问题并提出改进方案。 4. 与封装、结构、材料、系统团队合作，推动 2.5D/3D、Chiplet 等先进封装的热设计优化。 5. 参与实物测试，包括热像仪/热电偶数据采集、模型校准与热可靠性分析。

1. 5 年以上热设计/热仿真经验，有芯片、封装、服务器或散热模组相关项目经验。 2. 熟练使用 Icepak/Flotherm/Ansys Mechanical/COMSOL 等热仿真工具。 3. 理解材料热性能、散热结构、空气流动、界面热阻、热可靠性等关键概念。 4. 有实际热测试经验，可将仿真与测试数据进行模型校准。 5. 具备跨团队沟通能力，能独立负责模块级热设计并推进问题闭环。

From $25, paid onceGet the CV for this job

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.
Get the CV for this job

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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.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

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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?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

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