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Open nowPosted 575 days ago

白车身附件工程师

li/referral786 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now白车身附件工程师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.

11.8% 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. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 575 days ago

li/referral median: 1 days open

The posting

负责制定白车身附件(空腔隔断、堵盖&贴片、补强&阻尼胶片)的系系统方案、设计构想、开发计划等,负责零部件定点、开发,其它专业选型,选型不到的应用专业提需求又文件 负责白车身密封附件零件重量、成本的管理及目标达成; 负责完成白车身密封附件3D及2D数据制作及发布; 负责完成白车身密封附件DFMEA、特殊特性清单等文件的编制及发布; 负责完成白车身密封附件开发工作(包括SOR编制、供应商定点、拍技术协议签署、供应商开发过程管控、OTS及ESO,以及试制、试装问题整改等); 负责承接白车身气密性能及水密性目标,跟踪白车身气密性试验验证,解决试验问题,达成性能目标 负责白车身系统气密性能及水密性方案制定、数据校核,识别问问题,反馈并推动问题责任人关闭问题; 负责部门所有承研项目性能附件系统相关的技术文件及报告等的约编制; 负责部门相关设计开发体系文件的编写统筹,丰富所属系统统的知识库。

全日制本科或以上学历，高分子材料（优先）、车辆工程、机械等相关专业 大学英语CET-4级或以上，有良好的英语口语及书写能力 5年以上汽车主机厂（OEM）或相关零部件生产厂工作经历 具备使用CATIA独立制做3D数据、2D图纸能力 有进取心，责任心强，有担当 对待事物具有清晰的逻辑分析和判断能力，熟悉丰田TBP等问题分析工具

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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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3×

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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

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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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