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

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Meituan jobs](https://jobs.opennash.com/companies/meituan/) · [Search jobs](/search/)

Meituan · 北京市 +1 more

# 【无人车北斗实习】3D高斯模型实习生

北京市 +1 more 

Listed on Meituan ’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Meituan ’s careers site →](https://zhaopin.meituan.com/web/position/detail?highlightType=campus&jobUnionId=4501188515)

[OpenNash Jobs](https://jobs.opennash.com/) / [Meituan ](https://jobs.opennash.com/companies/meituan/) / 【无人车北斗实习】3D高斯模型实习生

## Job description

【工作内容】
- 探索基于3D Gaussian Splatting的重建模型在高精地图（HD Map）建图场景中的应用与优化
- 针对大规模场景重建的效率与精度瓶颈开展算法改进，推动模型在实际驾驶数据上的迭代
- 与工程团队协作，将3D高斯重建能力集成至自动驾驶感知与建图系统 【岗位吸引点】 1.

### 真实建图场景落地

3DGS 研究直接对接美团 RoboVan 的 HD Map 建图需求，有机会将前沿重建技术应用于规模化量产场景 2.

### 多城市真实数据支撑

物流配送场景覆盖复杂城市道路，数据多样性高，为大规模3D高斯重建提供极具挑战性的真实验证环境
- 具有大规模3D高斯重建的实际经验（实习或科研均可），熟悉3DGS及其衍生方法
- 了解自动驾驶建图场景需求，具备处理真实驾驶场景数据的能力
- 有相关领域 CCF-A 类论文发表者优先考虑

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: 北京市 +1 more[Apply on Meituan ’s careers site →](https://zhaopin.meituan.com/web/position/detail?highlightType=campus&jobUnionId=4501188515)

## More jobs at Meituan 

### [Keeta - 体验AI产品经理](https://jobs.opennash.com/companies/meituan/jobs/c41d7970dcabbffd445b/)

北京市 +1 more

### [Keeta-体验治理产品经理](https://jobs.opennash.com/companies/meituan/jobs/9cd265c7ddf5a2194cdf/)

北京市 +1 more

### [Keeta-客服产品经理](https://jobs.opennash.com/companies/meituan/jobs/cf866711088d3c494eaa/)

北京市 +1 more

### [Keeta-用户增长产品经理（老客提频）](https://jobs.opennash.com/companies/meituan/jobs/1ded1225eb4c9fb49f9d/)

北京市 +1 more

### [Keeta-营销平台产品经理](https://jobs.opennash.com/companies/meituan/jobs/2ada878e23048cd7c7a3/)

北京市 +1 more

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/)