该职位来源于猎聘 岗位职责: 1.电气控制系统设计与开发
- 负责自动化设备电气控制系统的方案设计、原理图绘制及PLC程序开发,结合现代控制理论(如PID、状态空间控制等)优化系统性能
- 基于Matlab/Simulink完成控制算法建模与仿真,验证算法有效性并优化参数
- 参与设备调试与故障诊断,解决现场电气控制问题,编写技术文档及操作手册 2.智能算法与软件开发
- 应用深度学习、机器学习技术(如CNN、RNN、强化学习)解决电气系统中的预测、分类或优化问题,例如设备故障预测、能耗优化等
- 使用C/C++实现算法底层逻辑,优化代码执行效率,并与PLC或嵌入式系统对接 3.硬件与嵌入式开发
- 掌握PLC编程(如西门子、三菱系列),开发人机界面(HMI)及通信协议(Modbus、Profinet等) 4.跨领域协作与创新
- 与机械、软件团队协作,推动电气系统与智能制造
- 探索新技术(如边缘计算、数字孪生)在电气控制中的应用,提升系统智能化水平
- Electrical Control System Design & Development
- Designed and developed electrical control systems for automated equipment, including schematic drafting and PLC programming, while optimizing system performance with modern control theories (e.g., PID, state-space control).
- Conducted control algorithm modeling and simulation using MATLAB/Simulink, validating effectiveness and fine-tuning parameters.
- Participated in equipment debugging and fault diagnosis, resolved on-site electrical control issues, and prepared technical documentation and operation manuals.
- Intelligent Algorithms & Software Development
- Applied deep learning and machine learning (e.g., CNN, RNN, reinforcement learning) to solve prediction, classification, and optimization challenges in electrical systems (e.g., equipment failure forecasting, energy consumption optimization).
- Implemented algorithm core logic in C/C++, optimized code efficiency, and integrated with PLC/embedded systems.
- Hardware & Embedded Development
- Proficient in PLC programming (Siemens, Mitsubishi series), developed HMI (Human-Machine Interfaces), and implemented communication protocols (Modbus, Profinet, etc.).
- Cross-Disciplinary Collaboration & Innovation
- Collaborated with mechanical and software teams to advance electrical systems in smart manufacturing.
- Explored emerging technologies (e.g., edge computing, digital twins) to enhance system intelligence in electrical control applications. 岗位要求: 1.电气工程、自动化、控制科学与工程、计算机等相关专业硕士及以上学历; 2.熟悉模电/数电基础,掌握电路分析、电机学、自动控制原理等核心课程; 3.能够使用Matlab/Simulink进行算法仿真;掌握C/C++语言,具备嵌入式开发经验者优先; 4.了解深度学习框架(TensorFlow/PyTorch),熟悉神经网络设计与训练,有研究或实习项目经验者优先; 5.了解PLC编程(如西门子S7系列)、SCADA组态软件,了解工业通信协议; 6.良好的学习能力,具备较强的逻辑分析能力和问题解决能力; 7.工作积极负责,主观能动性强,能够承受一定的工作压力,并且拥有良好沟通和协作能力。
- Master's degree or higher in Electrical Engineering, Automation, Control Science & Engineering, Computer Science, or related fields.
- Solid foundation in analog/digital electronics, with expertise in core subjects such as circuit analysis, motor theory, and automatic control principles.
- Proficient in algorithm simulation using MATLAB/Simulink; skilled in C/C++ programming (experience in embedded development preferred).
- Familiarity with deep learning frameworks (TensorFlow/PyTorch) and neural network design/training (research or internship experience is a plus).
- Basic knowledge of PLC programming (e.g., Siemens S7 series), SCADA configuration software, and industrial communication protocols.
- Strong learning agility, logical analysis, and problem-solving skills.
- Proactive, responsible, and able to work under pressure; excellent communication and team collaboration abilities.