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Open nowPosted 39 days ago

机器人算法全栈工程实习生

agirobot/internrecruitment362 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now机器人算法全栈工程实习生agirobot/internrecruitment · Shanghai, Chinese Mainland
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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 39 days ago

The posting

职位描述 您将成为SDK团队中的 “算法探索者” 与 “解决方案架构师” 。您的核心使命并非进行底层的C++编码,而是探索、评估、原型化和集成最前沿的机器人算法,将其转化为可行的功能方案,并为工程团队提供清晰的算法蓝图。如果您痴迷于算法的无限可能,享受将论文中的idea在仿真和真实机器人上“玩”出效果,并乐于为复杂功能构思简洁的调用逻辑,那么这个职位正为您而设。

职位要求

对机器人技术充满热情,具备优秀的学习能力和自主驱动力,乐于解决开放式问题。

精通Python,具备强大的算法原型实现能力,能够快速验证算法并推动其走向真机验证。

对机器人基础算法体系有全面认知,并在以下至少两个方向具有一定经验: 强化学习与模仿学习(包括行为克隆、DAgger、PPO、Diffusion Policy 等)

操作策略学习(manipulation policy learning),具备从感知到动作生成的端到端建模能力

感知(图像处理、点云理解、多模态融合、SLAM)

运动规划(采样规划、轨迹优化等)

控制(位置/速度/力控制,MPC 等)

状态估计(Kalman / particle filter,传感器融合)

拥有对机器人系统架构的整体理解,能够快速上手和集成不熟悉的算法模块。

我们特别欢迎具备强大学习能力和成长潜力的候选人,即使在某些方向经验尚浅,也能迅速适应并创造价值。

加分项:

有机器人真机部署经验,特别是在高复杂度任务中的经验。

有机器人系统或远程操控经验。

在机器人或机器学习顶级会议(ICRA, CoRL, RSS, NeurIPS等)发表论文者优先。

熟悉 ROS/ROS2、Mujoco、PyBullet、Isaac Sim 等仿真和开发工具链者优先。

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