SENIOR FACILITIES ENGINEER, ELV

Micron Semiconductors; Seberang Perai; On-site; MYR 120,000 - 180,000; Full time

Job summary

Micron Semiconductors is seeking a qualified engineer to maintain and support UPS, Access Control, PA systems, data networks, solar monitoring and PQMS. You will drive AI/IIoT initiatives to improve reliability, energy efficiency, and digital facilities transformation.

Responsibilities include predictive maintenance, data analytics, and secure AI implementations across facilities, collaborating with IT, automation, and ESG teams.

Qualifications

• Bachelor's degree in Telecommunication, Electrical/Electronic Engineering or equivalent field.
• Experience with facilities systems: UPS, Access Control, PA, Data Networks, Solar Monitoring, PQMS, FMCS, BMS, SCADA, or Smart Building Systems.
• Knowledge of AI, ML, Data Analytics, IIoT, Digital Twin, or Predictive Maintenance methodologies.

Responsibilities

• Develop and implement AI-enabled predictive maintenance for UPS, VFDs, batteries, and power distribution equipment.
• Use AI analytics to identify abnormal equipment behavior and power quality disturbances.
• Create real-time dashboards using FMCS, BMS, PQMS, and solar monitoring data for visibility and decisions.

Skills

AI/ML concepts

IIoT

Data analytics

Independent work

Education

Bachelor's degree in Telecommunication, Electrical / Electronic Engineering

Tools

Power BI

SQL

Python

Tableau

Ignition

SCADA

FMCS

BMS

AutoCAD

Job description

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.

Key responsibilities

• 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
• Follow all EHS procedures to ensure compliance with applicable regulations and ensure all contractors comply to Micron EHS requirements

About you

• Bachelor's degree in Telecommunication, Electrical / Electronic Engineering, or equivalent field
• 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
• Experience with Power BI, SQL, Python, Tableau, Ignition, SCADA, FMCS, BMS, or similar data analytics platforms
• 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
• Basic knowledge of AutoCAD
• Ability to work independently with minimum supervision