SENIOR FACILITIES ENGINEER, ELV
Micron Technology
- Location
- Penang, Malaysia - Grande
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 69 approvals (FY2023)
- Posted
- Aug 27, 2026
Skills
About this role
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Maintain and support UPS systems, Access Control Systems, Public Address (PA) Systems, Passive Network Systems, Solar Monitoring Systems, Variable Frequency Drives (VFD) and Power Quality Monitoring Systems (PQMS). Lead the adoption and deployment of Artificial Intelligence (AI), Machine Learning (ML), Industrial Internet of Things (IIoT), and digital technologies to improve reliability, efficiency, and sustainability of Facilities ELV systems. Develop and implement AI-enabled predictive maintenance solutions to monitor equipment health and predict failures of UPS systems, VFDs, battery systems, power distribution equipment, network infrastructure, and critical facility assets before operational impact occurs. Utilize AI-based analytics tools to identify abnormal equipment behavior, power quality disturbances, utility consumption trends, and potential risks, enabling proactive maintenance and operational decisions. Build and maintain real-time dashboards and visualization platforms using FMCS, BMS, PQMS, solar monitoring, and facility databases to improve system visibility and data-driven decision making. Apply machine learning and advanced analytics to optimize preventive maintenance intervals, spare parts inventory management, asset lifecycle planning, and contractor productivity. Support development of Digital Twin models for facility infrastructure to improve capacity planning, scenario simulations, energy optimization, and risk assessment. Drive smart facility initiatives through intelligent alarming systems, automated fault detection, predictive diagnostics, and autonomous monitoring technologies. Leverage Generative AI and engineering copilots to improve engineering productivity, technical troubleshooting, root cause analysis, SOP development, engineering documentation, and operational reporting. Collaborate with Automation, IT, Cybersecurity, and Global Facilities teams to implement secure AI and cloud-based solutions in accordance with corporate digital governance requirements. Experience supporting facilities systems such as UPS, Access Control, Public Address, Data Networks, Solar Monitoring, PQMS, FMCS, BMS, SCADA, or Smart Building Systems. Knowledge of AI, Machine Learning, Data Analytics, Industrial IoT (IIoT), Digital Twin technologies, or Predictive Maintenance methodologies is an added advantage. Experience with Power BI, SQL, Python, Tableau, Ignition, SCADA, FMCS, BMS, or similar data analytics platforms will be highly preferred. Strong analytical and problem-solving capability with experience applying 8D, FMEA, RCA, Fishbone Analysis, and statistical techniques to resolve complex engineering issues. Experience managing contractors, facility projects, equipment upgrades, CAPEX projects, and cross-functional engineering initiatives. Good understanding of Industry 4.0 technologies, smart manufacturing concepts, cybersecurity awareness, and digital facility transformation programs. Follow all EHS procedures to ensure compliance with application regulations. Ensure all contractors comply to Micron EHS requirements. Follow all EHS procedures to ensure compliance with applicable regulations. Qualifications and Requirements: Bachelor’s degree in Telecommunication, Electrical / Electronic Engineering, or others equivalent field. Entry level is encouraged to apply. Candidate with background experience from ELV/Audio Visual /Public Address/Network & Security industries is an added advantage. Having basic knowledge of AutoCAD. Good analytical, with ability to analyses problem and visualize with appropriate solutions. With good sense of responsibility and able to work independently with minimum supervision. About