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Open nowPosted 3 days ago

自动驾驶测试工程师

li/referral788 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now自动驾驶测试工程师li/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.

12.1% 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. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 3 days ago

li/referral median: 1 days open

The posting

1.负责城市和高速NOA软件功能及性能的冒烟和回归，高效高质量分析反馈 2.负责城市和高速NOA功能多维度性能评价，指引研发迭代方向 3.负责智能驾驶实车功能验证和性能标定匹配测试，主要包含城市、高速驾驶辅助全场景； 4.负责相关联传感器及执行器的功能联调及性能验收； 5.对所负责功能模块进行专项系统测试，提出系统问题及其协同软件研发团队处理问题和提升性能体验； 6.负责国内主流评价体系的专项验证，辅助系统的迭代提升； 7.根据项目需求，拟定实车测试方案，按需安排和管理系统级规模化路试；维护测试车辆和测试环境，包括车辆及相关设备的维护和维修。

1.本科及以上学历，3年及以上智能驾驶行车NOA测试经验，对所在base地典型城市的道路结构及交通状况熟悉； 2.候选人具备客观的判断力、高度的组织能力、极强的细节关注度，能主动推进工作，了解主流自动驾驶技术路线，对自动驾驶的技术实现方案有较好的理解； 3.熟悉驾驶辅助系统的典型功能及其系统设计逻辑，能识别系统功能链路中各个模块的数据流传递关系，了解开发需求管理，系统方案设计，车辆端系统功能和性能匹配标定工作，测试及验证方案设计及其实施； 4.熟悉驾驶辅助系统所涉及的执行器之间的交互和性能指标，车辆驾驶技能熟练，驾驶里程达到10,000km以上，对于传感器的数据采集系统有完整的理解或解决思路； 5.熟悉Liunx环境，能够熟练操作CLI终端，具备团队管理或外包管理经验者优先，具备测试工具开发或AI智能体开发经验者优先； 6.能适应短期出差

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  2. 25 readers review it

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

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

  4. Every reply, sorted

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

  5. Reply with AI

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  6. The interview in your calendar

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