[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Geely Automobile Holdings jobs](https://jobs.opennash.com/companies/geely-automobile-holdings/) · [Search jobs](/search/)

Geely Automobile Holdings · 宁波市, 浙江, 中国 +4 more

# AI视觉算法工程师

宁波市, 浙江, 中国 +4 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/99b694e7-cbff-4f53-9ea2-ea02427b1f54)

[OpenNash Jobs](https://jobs.opennash.com/) / [Geely Automobile Holdings](https://jobs.opennash.com/companies/geely-automobile-holdings/) / AI视觉算法工程师

## Job description

### 一、岗位职责
- 负责智能座舱视觉AI模型及算法的设计（如哨兵、视线估计、手势识别、行为识别、人脸识别），包括针对座舱场景的数据集构建、模型验证、算法迭代优化；
- 负责视觉AI算法模型在嵌入式环境（如高通及Nvdia座舱芯片）上的移植，保证视觉AI感知功能的良好用户体验；
- 负责视觉AI算法模型的量化、剪枝、蒸馏等，保证模型量化移植后的准确率;
- 负责视觉AI算法的前后处理及产品业务相关的业务开发及应用落地;
- 跟踪国际前沿的计算机视觉、多模态学习、大模型等技术动态，并探索其在智能汽车舱外感知领域的应用潜力，解决视觉大模型技术落地过程中的关键问题。

### 二、任职要求
- 有座舱DMS/OMS 视觉算法研发经验优先。
- 精通Pytorch 框架Python 语言，熟悉ONNX 格式转换与部署流程，熟悉c++编程。
- 熟悉QNX/Linux 平台开发与调试，具备算法SDK 集成与量产联调经验。

## 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 +4 more[Apply on Geely Automobile Holdings’s careers site →](https://app.mokahr.com/social-recruitment/geely/102042#/job/99b694e7-cbff-4f53-9ea2-ea02427b1f54)

## More jobs at Geely Automobile Holdings

### [3D美术（Unity/Laya方向）](https://jobs.opennash.com/companies/geely-automobile-holdings/jobs/f6fd15bb1b7a363b4de3/)

杭州市, 浙江, 中国

### [Aigc算法工程师](https://jobs.opennash.com/companies/geely-automobile-holdings/jobs/42a1bd09d2f327e48780/)

上海市, 中国

### [AIoT平台开发](https://jobs.opennash.com/companies/geely-automobile-holdings/jobs/df0c6e7e6985aa24fbdb/)

宁波市, 浙江, 中国

### [AI产品总监](https://jobs.opennash.com/companies/geely-automobile-holdings/jobs/6eb7cefc2bd37d99f52b/)

宁波市, 浙江, 中国

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)
