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Geely Automobile Holdings · 宁波市, 浙江, 中国 +1 more

# 智能驾驶标定系统开发岗

宁波市, 浙江, 中国 +1 more 

Listed on Geely Automobile Holdings’s official careers site. Listed as of October 23, 2026. Check that it is still open and apply there.
[Apply on Geely Automobile Holdings’s careers site →](https://app.mokahr.com/social-recruitment/geely/102042#/job/c3d054a8-a504-4b1f-a0b5-a7c294a6ad01)

[OpenNash Jobs](https://jobs.opennash.com/) / [Geely Automobile Holdings](https://jobs.opennash.com/companies/geely-automobile-holdings/) / 智能驾驶标定系统开发岗

## Job description

### 岗位职责
- 作为标定项目接口人，对接整车项目、感知、算法、软硬件、测试、试制、工厂量产、供应链等内外多团队。统筹标定资源（场地、设备、车辆、人力、外协资源），推进标定方案落地、实车标定测试、问题闭环，保障项目高效推进；
- 负责智能驾驶传感器标定交付,包括产线标定、售后标定、在线标定等;
- 负责相机、激光雷达、IMU等多传感器标定系统设计，产线标定流程、开发规范制定；
- 对完整标定系统进行测试准出;
- 产线及售后标定问题处理; 岗位要求:
- 本科及以上学历;
- 熟悉智能驾驶传感器架构，了解相机、激光雷达、IMU等多传感器标定基本原理、标定流程；
- 熟悉linux操作系统基本操作;
- 熟悉ROS架构，熟练使用常用工具、命令；
- 熟练使用shell Python等脚本语言；
- 对智驾中间件有经验证者优先;
- 英语口语优秀者优先
- 优秀的沟通能力和闭环思维;

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 23, 2026
- Last checked: Oct 23, 2026
- Listed for: Under a day
- Location: 宁波市, 浙江, 中国 +1 more[Apply on Geely Automobile Holdings’s careers site →](https://app.mokahr.com/social-recruitment/geely/102042#/job/c3d054a8-a504-4b1f-a0b5-a7c294a6ad01)

## More jobs at Geely Automobile Holdings

### [AI架构工程师](https://jobs.opennash.com/companies/geely-automobile-holdings/jobs/55dfe984ab77fa5a474c/)

宁波市, 浙江, 中国 +1 more

### [GAS产品经理](https://jobs.opennash.com/companies/geely-automobile-holdings/jobs/56703726176da44df2d6/)

宁波市, 浙江, 中国 +1 more

### [传感器单板硬件开发（激光雷达/摄像头/毫米波雷达）](https://jobs.opennash.com/companies/geely-automobile-holdings/jobs/8a52c2d58d839ab642de/)

宁波市, 浙江, 中国 +1 more

### [传感器项目经理](https://jobs.opennash.com/companies/geely-automobile-holdings/jobs/4a978ce18148d480b852/)

宁波市, 浙江, 中国 +1 more

### [光学工程师](https://jobs.opennash.com/companies/geely-automobile-holdings/jobs/34c50ced5f53eec7afb9/)

宁波市, 浙江, 中国 +1 more

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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