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Open nowPosted 120 days ago

具身导航仿真工程师

x2-robot/index203 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now具身导航仿真工程师x2-robot/index · Beijing, Chinese Mainland

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. x2-robot/index postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 120 days ago

x2-robot/index median: 1 days open

The posting

1. 负责具身导航仿真系统搭建与维护，包括机器人模型、场景资产、物理参数、传感器配置、运动控制接口和任务环境配置。 2. 使用并二次开发主流仿真器，例如 Isaac Sim / Isaac Lab、Habitat、MuJoCo、Gazebo / Ignition等，构建适用于导航、避障、探索、目标搜索、移动操作的仿真任务。 3. 搭建仿真数据 pipeline，包括场景采样、任务生成、轨迹采集、传感器数据生成、标注生成、数据清洗、格式转换、数据版本管理和自动化回放。 4. 支持多模态传感器仿真，包括 RGB、Depth、鱼眼 / 全景相机、LiDAR、IMU、里程计、碰撞、接触、语义分割、深度图、占据图、BEV 等。 5. 构建导航评测体系，包括成功率、碰撞率、路径长度、SPL、轨迹平滑性、重定位能力、动态避障能力、目标到达误差、控制延迟等指标。 6. 支持导航算法与具身模型训练，包括 classical navigation、RL、IL、VLA / VLM-based navigation、semantic navigation、point-goal / object-goal navigation、language-conditioned navigation 等。 7. 开发仿真与真实机器人之间的接口，包括 ROS2 topic 、Nav2 接入、TF 坐标系、机器人 URDF / USD / MJCF 模型转换、控制接口和数据回放工具。 8. 负责 sim2real 相关工作，包括 domain randomization、传感器噪声建模、动力学参数校准、场景随机化、光照材质随机化、真实数据对齐和仿真误差分析。 9. 建设自动化实验平台，支持大规模并行仿真、批量任务评测、日志采集、可视化分析、失败案例挖掘和回归测试。 10. 与算法团队协作，将仿真数据和评测结果用于模型迭代，持续提升机器人在真实室内环境中的导航、避障、到达和任务执行能力。

1. 计算机、机器人、自动化、电子工程、机械工程或相关专业，本科及以上学历。 2. 熟悉至少一种机器人仿真平台，例如 Isaac Sim、Habitat、MuJoCo、Gazebo / Ignition、Unity、Unreal 等，有实际项目经验。 3. 熟悉机器人导航或具身智能相关任务，例如 SLAM、路径规划、局部避障、语义导航、目标导航、移动操作、视觉导航等。 4. 熟悉 ROS2 生态，理解 TF、URDF、sensor topics、rviz 等常用工具和数据格式。 5. 具备较强的 Python / C++ 工程能力，能够开发仿真插件、数据处理工具、评测脚本、自动化 pipeline 和可视化工具。 6. 熟悉常见传感器模型，包括 RGB-D 相机、鱼眼相机、LiDAR、IMU、轮速计、深度图、点云、Occupancy Grid、BEV 等。 7. 理解机器人坐标系、相机内外参、传感器标定、时间同步、轨迹格式、地图格式和数据集构建流程。 8. 有良好的工程习惯，能够进行模块化设计、版本管理、实验记录、日志分析和自动化测试。 加分项 1. 有 Isaac Sim / Isaac Lab / Omniverse 深度使用或二次开发经验。 2. 有 Habitat / RoboTHOR / iGibson / ManiSkill / MetaWorld / RoboCasa / BEHAVIOR 等具身仿真环境使用经验。 3. 有人形机器人、移动操作臂、轮式机器人、四足机器人或服务机器人仿真经验。 4. 有大规模合成数据生成、自动标注、domain randomization、sim2real 经验。 5. 有机器人数据集建设经验，包括轨迹数据、传感器数据、语言指令、动作标注、任务成功失败标签等。 6. 有多机并行仿真、GPU 仿真加速、Docker / Kubernetes / CI/CD 经验。 7. 有真实机器人部署经验，能将仿真结果迁移到真实机器人系统中验证。

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