英格索兰星锐扬帆计划 – 研发工程师Electrical Control & Digitalization

工作职责:

Job Summary Join Ingersoll Rand’s Accelerated Development Program and contribute to next-generation industrial equipment and digital solutions. The role combines electrical control, product development, industrial software, AI, and IoT, with structured development toward future technical expert or engineering leadership roles.

Responsibilities

• Participate in electrical system design for industrial equipment, including low-voltage components, motors, VFDs, sensors, starter panels, and control cabinets.
• Support PLC programming, HMI development, control logic design, electrical schematic design, BOM release, testing, and troubleshooting.
• Contribute to New Product Development and i2V/value engineering activities, including CTQ definition, DFMEA, DVPR, design reviews, and verification/validation.
• Collaborate with global engineering teams, suppliers, and cross-functional stakeholders to deliver safe, reliable, and cost-effective solutions.
• Participate in engineering digitalization initiatives, including AI-enabled engineering tools, workflow automation, knowledge management, and data analysis.
• Support Industrial IoT and connected-product projects, including system integration, field validation, and continuous improvement.
• Analyze product and field issues, identify root causes, implement corrective actions, and capture lessons learned.
• Ensure designs comply with applicable regional standards and support product certification activities where required.

任职条件:

• Bachelor’s or Master’s degree in Electrical Engineering, Automation, Control Engineering, Mechatronics, Electronic Information Engineering, Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.
• Solid fundamentals in electrical circuits, control systems, power electronics, motors, sensors, or industrial automation.
• Basic exposure to one or more of the following is preferred: PLC/HMI, VFD, industrial communication, electrical CAD, Python, C/C++, or data analytics.
• Interest in AI, industrial IoT, engineering digitalization, and smart connected products.
• Strong analytical thinking, hands-on problem solving, and learning agility.
• Good communication and teamwork skills and ability to work effectively in a global and cross-functional environment.
• Good written and spoken English.