QCraft AI

RoboVan地图基础架构工程师/专家

QCraft AI  •  Onsite  •  4 hours ago
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Job Description

RoboVan地图基础架构工程师/专家
北京、苏州
社招
全职
智能制造 / 工业互联网 / 工业自动化
职位描述
1、负责图商地图(SD)与末端自建地图的融合架构设计与落地:包括坐标系对齐与合规处理、路网拓扑接边、多源数据版本协同策略,形成支撑规模化开城的统一地图底座;
2、搭建地图数据服务:地图数据的存储规格定义、编译与格式转换(OpenDrive/NDS/自定义格式)、瓦片化组织、多版本管理与增量更新分发,设计云端到车端的地图数据同步链路与车端SDK;
3、搭建路径规划服务:基于融合路网构建全局路由引擎,支持物流场景约束(限行、限高限重、园区门禁、装卸点/驿站POI),保障求路完备性、性能与实时更新能力;
4、与定位、感知、PNC团队协作定义地图数据接口,与图商对接数据采购、更新频率与合规要求。
职位要求
1、本科及以上学历,计算机、地理信息系统(GIS)、测绘、自动化等相关专业,3年(专家档5年)以上相关经验;
2、精通C++,熟悉Linux下服务端开发,具备扎实的数据结构、计算几何与空间索引(R-tree/GeoHash/quadtree等)基础;
3、熟悉主流地图数据格式与规范(OpenDrive、NDS、shapefile、OSM等)中至少一种,理解路网拓扑、车道模型与地图编译流程;
4、有地图数据服务、路径规划引擎或LBS后台的完整项目经验,理解大规模空间数据的存储、版本管理与分发;
5、了解国内地图合规体系(测绘资质、GCJ-02坐标加偏、地图审图要求)及其对系统架构的约束。
投递
QCraft AI

About QCraft AI

Established in 2019, QCraft, a world-leading provider of general autonomous driving (AD) solutions, owns a "light, responsive, and efficient" team in full-stack autonomous driving and creates high-efficiency methodology "Gigafactory for Autonomous Driving". With data-driven approaches and efficiency improvement at its core, it delivers efficient deployment and iteration of autonomous driving.

Under a "safety+" strategy, QCraft encodes safety into product R&D, branding and sustainable development. Committed to "Bringing Autonomous Driving into real life" and based on extensive experience in L4 technology and L2++ mass production, QCraft relentlessly promotes the technical and commercial implementation from L2++ to L3 and L4, approaching towards the higher level of autonomous driving.

Industry
IT & Software
Company Size
51-200 employees
Headquarters
California
Year Founded
2019
Website
qcraft.ai
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