QCraft AI

【26届校招】端到端自动标注算法工程师

QCraft AI  •  Onsite  •  2 months ago
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Job Description

【26届校招】端到端自动标注算法工程师北京、苏州、上海校招正式互联网 / 电子 / 网游职位描述- 参与激光和视觉三维重建相关算法的开发,利用深度学习和图优化技术优化3D重建精度,并支持实际项目应用
- 负责设计与开发离线自动标注技术,利用多传感信息对自动驾驶场景进行自动标注,支撑车端模型能力与效果提升
- 负责设计与开发感知标注数据的大规模挖掘、检索、预处理平台与工具链,持续提升数据迭代效率与质量
- 负责设计与开发数据挖掘和难例样本分析等工具链,通过数据闭环来优化数据分布,增强感知模型性能和训练效率职位要求1. 学历背景:计算机、机器人、自动化、人工智能等相关专业,硕士及以上学历,并具备良好的英文文献检索和阅读能力
2. 技术技能:精通C/C++和Python编程,扎实的数据结构与算法基础,熟练使用Linux、Git等开发工具
3. 理论基础:具备扎实的数学基础,了解非线性优化理论,3D视觉与SLAM理论基础
4. 专业经验:熟悉并有过Visual SLAM或SFM相关项目经验,有NeRF或3DGS等三维重建项目经验优先
5. 深度学习:熟悉主流深度学习算法,有常用图像/点云处理经验者优先,熟悉OpenCV、PyTorch者优先
6. 项目经验:有Auto-labeling相关经验者优先,有大规模数据处理和算法优化经验
7. 软技能:良好开阔的视野,熟悉主流自动驾驶、辅助驾驶的产品方案,熟悉前沿进展,有良好的沟通技能和丰富的理论和实践经验,具有良好的抗压能力,具有强烈的责任心和团队合作精神 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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