Robotic Engineer

核心职责

• 系统开发与集成：参与机器人控制系统、感知系统或上位机软件的代码编写与模块测试。

• 仿真与建模：利用仿真工具（如 Gazebo, Webots, CoppeliaSim 等）进行物理环境模拟和运动学/动力学验证。

• 硬件调试：协助硬件工程师进行电机驱动器、传感器（激光雷达、深度相机）、控制器（PLC/ARM/x86）的选型、安装与联合调试。

• 现场支持：参与机器人系统的部署工作，记录并分析现场运行数据，协助定位并解决技术 Bug。

• 技术文档：负责编写相关的开发文档、测试报告及用户操作手册，确保技术方案的可追溯性。

任职要求

• 教育背景

• 专业：机械工程、自动化、机电一体化、计算机、电子工程或机器人工程等相关专业。

• 学历：本科及以上学历（优秀应届生不限学历）。

• 技术技能（具备以下 2-3 项即可）

• 编程基础：熟练掌握 C++/Python，有良好的代码规范意识。

• 框架了解：熟悉 ROS/ROS2 机器人操作系统，了解基本的节点通信机制。

• 控制理论：理解 PID 控制、运动学正逆解（DH参数）或基础的路径规划算法。

• 硬件知识：能看懂电路图，了解 CAN、RS485、以太网等常用通信协议，具备万用表/示波器操作经验。

• 工具使用：熟悉 Linux (Ubuntu) 环境；了解 Git 版本控制；会使用 CAD 或 SolidWorks 查看 3D 模型。

• 综合素质

• 学习能力：能快速吸收新领域的知识（如具身智能、AI 大模型在机器人上的应用）。

• 抗压与协作：能适应实验室与现场调试的交替环境，具备良好的团队沟通能力。

• 语言能力：能够阅读英文技术文档和 API 说明书。

加分项

• 在校期间参加过 RoboMaster、RoboCon、飞思卡尔智能车等机器人竞赛并获奖。

• 有机器人实验室项目经验，或在相关企业有深度实习经历。

• 拥有个人技术博客或 GitHub 开源项目经历。

Job Responsibilities

• System Development & Integration – Participate in code writing and module testing for robotic control systems, perception systems, or host computer software.

• Simulation & Modeling – Use simulation tools (e.g., Gazebo, Webots, CoppeliaSim) to perform physical environment simulation and kinematic/dynamic validation.

• Hardware Debugging – Assist hardware engineers in the selection, installation, and joint debugging of motor drivers, sensors (LiDAR, depth cameras), and controllers (PLC/ARM/x86).

Field Support – Participate in the deployment of robotic systems, record and analyze on-site operation data, and help locate and resolve technical bugs.

Technical Documentation – Prepare related development documents, test reports, and user manuals to ensure traceability of technical solutions.

Requirements

• Educational Background

• Major: Mechanical Engineering, Automation, Mechatronics, Computer Science, Electronic Engineering, Robotics Engineering, or related fields.

• Degree: Bachelor's degree or above (outstanding recent graduates are welcome; degree requirement flexible for exceptional candidates).

• Technical Skills (2–3 of the following are sufficient)

• Programming Fundamentals: Proficient in C++/Python with good code discipline.

• Framework Knowledge: Familiar with ROS/ROS2 robot operating system and basic node communication mechanisms.

• Control Theory: Understand PID control, forward/inverse kinematics (DH parameters), or basic path planning algorithms.

• Hardware Knowledge: Able to read circuit schematics; familiarity with common communication protocols such as CAN, RS485, Ethernet; experience using a multimeter or oscilloscope.

• Tool Usage: Comfortable with Linux (Ubuntu) environment; knowledge of Git version control; ability to view 3D models using CAD or SolidWorks.

• Core Competencies

• Learning Ability: Quickly absorb knowledge in emerging fields (e.g., embodied AI, large language models in robotics).

• Resilience & Collaboration: Adapt to alternating lab and on-site debugging environments, with strong team communication skills.

• Language Proficiency: Able to read English technical documents and API manuals.

Plus Points

• Participated in and won awards in robotics competitions such as RoboMaster, RoboCon, or Freescale Smart Car during university.

• Experience with robotics lab projects or in-depth internships at related companies.

• Maintains a personal technical blog or GitHub open-source project portfolio.