About the role
AI summarisedThis role supports the automation of warehouse and receiving operations using ASRS, conveyor systems, RFID, and AI technologies. The engineer will contribute to system reliability, WMS integration, digital twin development, and AI-driven analytics while collaborating across IT, operations, and facilities teams. A background in engineering and interest in semiconductor manufacturing applications are preferred.
IDMOnsiteFront End
Key Responsibilities
- Support all aspects of Automated Storage and Retrieval System (ASRS), conveyor systems, RFID, and AI implementation projects
- Assist in achieving outstanding system performance and reliability through preventive maintenance, troubleshooting, AI-driven predictive maintenance, and continuous improvement initiatives
- Support the design and integration of receiving automation solutions, including AI-enabled OCR, barcode scanning, and software interfaces
- Contribute to WMS integration projects and to the development of AI-powered digital twins for warehouse process simulation and optimization
- Develop technical documentation, AI-based data analytics dashboards, and performance tracking tools
- Collaborate with cross-functional teams, including IT, operations, and facilities, on automation projects
- Promote a Safe and Green Working Environment
Requirements
- Bachelor's degree in Electrical & Electronics, Chemical, Mechanical, Materials Engineering or equivalent
- Demonstrated leadership experience through academic projects, internships, or extracurricular activities, with the ability to build and develop an effective team to tackle equipment operation challenges
- Proven problem-solving abilities, knowledge on problem solving like 8D, 5 Why analysis, Process Failure Mode and Effect Analysis to deliver effective solutions
- Strong communication skills (written, verbal and presentation) and personal initiative and ability to work in a fast-paced and dynamic environment
- Proven experience with Microsoft Office Suite (Word, Excel, PowerPoint, Outlook)
- Demonstrated PROBE internship experience within a semiconductor company
- Experience working on projects that align with the key duties of this position
- Interest in and knowledge of the semiconductor industry and Micron is preferred
- Understanding or interest in AI applications in semiconductor manufacturing, such as predictive analytics, automated defect classification, or data visualization is preferred