发布于 2026-09-01
英文原文
机器人算法工程师（优化与装箱）
Robotics Algorithm Engineer (Packing Algorithm & Optimization)
Mujin
| 职种 | 工程 | 雇用形态 | — |
|---|---|---|---|
| 工作地点 | 日本（总部），美国、中国、欧洲有业务分布 | 薪资 | 面议 |
职位概要
Mujin是全球工业自动化领导者，通过面向机器人的智能操作系统MujinOS重新定义供应链效率。核心技术Machine Intelligence（MujinMI）利用实时数字孪生及先进的感知、规划与控制算法实现全自主运营。旗舰产品MujinController提供高度可配置的无代码界面，结合先进运动规划与计算机视觉，实现码垛、拣选、卡车卸货等复杂应用的自动化。公司总部位于日本，并在美国、中国和欧洲扩展业务。本岗位属于机器人系统团队，负责为实时工业机器人系统设计和开发算法。团队分为三个算法方向：控制算法（实时轨迹控制、机器人动力学、多体建模与精密执行）、运动规划（碰撞检测、基于采样的规划、基于优化的规划、高速料箱拣选运动）、装箱算法（几何推理、装箱优化、物品放置策略与组合搜索）。为支持装箱算法团队成长，现招聘机器人算法工程师（优化与装箱），负责开发用于物流和仓储自动化实际机器人应用的几何推理、物品放置和空间优化算法。工作环境节奏快、协作性强，鼓励持续学习和技术好奇心。
职位描述
Mujin is a global leader in industrial automation, redefining supply chain efficiency through MujinOS —our intelligent operating system for robotics. At our core is Machine Intelligence (MujinMI) , a unique approach that leverages real-time digital twins and advanced perception, planning, and control algorithms to achieve fully autonomous operations. Our flagship product, MujinController , empowers users with a highly configurable, no-code interface. By integrating cutting-edge motion planning and computer vision, it enables seamless automation for complex applications such as palletizing, picking, and truck unloading. Headquartered in Japan with a growing presence in the US, China, and Europe, we invite you to join a dynamic environment where you can shape the future of automation. Our team develops MujinOS's core algorithmic layer, combining control, motion planning, and packing algorithms that power applications such as palletizing, piece-picking, and depalletizing. We work in a fast-paced, collaborative environment where ideas are openly discussed, reviewed, and refined. Continuous learning and technical curiosity are strongly encouraged. As part of the Robotics System Team, you will design and develop algorithms for real-time industrial robotic systems. Team Structure & Focus Areas Our team consists of three algorithmic tracks. While you will primarily focus on one area, close collaboration across teams is common. Control Algorithms Real-time trajectory control, robot dynamics, multibody modeling, and precision execution. Motion Planning Collision checking, sampling-based planning, optimization-based planning, and high-speed bin-picking motions. Packing Algorithms Geometric reasoning, packing optimization, item placement strategies, and combinatorial search. To support the growth of our Packing Algorithms team, we are looking for a Robotics Algorithm Engineer (Optimization & Packing) . In this role, you will develop algorithms for geometric reasoning, item placement, and space optimization used in real-world robotic applications across logistics and warehouse automation.