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Open nowPosted 53 days ago

尺寸工程师

li/referral788 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now尺寸工程师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.

12.3% 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. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 53 days ago

li/referral median: 1 days open

The posting

1. 支持尺寸数据系统产品规划：PRD编写、原型图设计、项目规划； 2. 支持尺寸系统管理及运营：业务流的维护和迭代、系统模板搭建； 3. 支持尺寸数据系统开发：预警管理、虚拟匹配、尺寸智能体和内部平台搭建等； 4. 负责尺寸大数据现有业务的不断迭代，包括持续行业感知、前瞻技术研发等； 5. 负责根据DTS目标及产品结构进行尺寸链分析，并制定优化方案。 6. 负责根据制造、工艺、功能性要求制定并审核车身、内外饰、底盘等零部件控制策略及交付物 7. 负责车身尺寸匹配、车身精度质量改进工作，保证白车身尺寸精度及整车内外饰DTS目标达成；

1. 具备计算机基础知识，掌握数据库、数据结构、计算机网络、操作系统等; 2. 掌握一门编程语言,不限于Python/Java等，且能熟练运用AI工具，不限于Claude code，codex等； 3. 有工业数字化项目经验：不限于数据分析、机器学习、agent开发等； 4. 2023年级以后毕业，有尺寸相关工作经验优先，不限于整车厂试生产、尺寸开发或尺寸匹配工作； 5. 能够根据尺寸链及产品结构，制定车身及总成、单件的定位基准； 6. 能够熟练使用CATIA、CAD等设计分析软件； 7. 具备良好的逻辑思考能力、表达沟通能力、团队协作能力以及抗压能力；

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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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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.

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