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Salary
≈ $33k – $93k per year (Estimated)
Location
In office (Shenzhen)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Aug 6, 2026. Dexforce scores C on the Alion truth index.

Overview
Company
Impact
Profile match
跨维智能 跨维(深圳)智能数字科技有限公司 跨维智能成立于2021年,是一家以生成式世界模型驱动具身智能高效落地的高新技术企业。公司自研生成式具身智能引擎,打通 "数据-模型-本体-场景" 全链条,致力于打造全球领先的机器人具身大脑。 团队由全球Top 2%顶尖科学家贾奎教授领衔,成员均来自清华、北大、复旦、交大、麻省理工、港科大、港中文等国内外知名学府和科研机构。 公司已构建软硬一体全栈产品矩阵,核心产品包括国产自研具身仿真引擎DexVerse®、世界模型DexWorldModel,DexForce W1 Pro通用人形机器人、DexSense纯视觉传感器等。 以 "迈向通用物理世界智能"…

岗位职责:

1、V-SLAM 算法研发与落地,研发基于单目/双目/鱼眼/RGB-D 相机的 V-SLAM 算法,实现鲁棒的视觉里程计(VO)、局部地图构建、闭环检测与全局优化,支持室内/室外/弱纹理/快速旋转等挑战场景,融合 IMU 预积分、轮速计、GPS/RTK 等多源传感器,构建紧耦合 VIO/VINS 系统

2、优化特征提取与匹配策略,适应低重叠率、大视角变化的第一人称图像序列,设计面向穿戴式设备的轻量化 SLAM 系统,在 Jetson Orin NX / RK3588 等边缘平台上达到实时运行

3、数采产品算法适配,设计离线/在线 SLAM 数据处理管线,开发时间戳校准与空间标定工具,提供数据质量评估指标:轨迹精度(ATE/RPE)、尺度一致性、退化检测,指导数采流程优化

4、评测与工程化,建立 SLAM 算法评测基准,将算法封装为标准 C++ API / ROS 2 Node,输出位姿轨迹、稀疏/稠密地图、关键帧索引,参与产品级集成:与数采 SDK 对接、实时可视化、离线回放分析工具

任职要求:

1、硕士及以上学历,计算机视觉、机器人学、自动化、测绘遥感等相关专业

2、3 年以上 V-SLAM / VIO / Visual Odometry 算法研发经验

3、精通 C++,熟练使用 Eigen、OpenCV、Sophus、Pangolin 等库

4、熟悉至少一种主流 SLAM 框架源码:ORB-SLAM3 / VINS-Mono / VINS-Fusion / DSO / SVO / Kimera

5、有 IMU 预积分、状态估计(EKF / ESKF / MSCKF)的实际实现经验

6、熟悉 ROS / ROS 2,能独立搭建 SLAM 实验与数据采集环境

加分项:

1、有 Ego-Centric / 第一人称视觉 SLAM 研究或项目经验(如头戴式 AR/VR 定位、手持扫描仪)

2、有 UMI 类数采设备 / 数据记录仪 / 黑匣子产品的算法适配经验

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