Senior Facilities Mechanical AI Engineer

About the role

Micron is looking for a Senior Facilities Mechanical Artificial Intelligence Engineer for its Fab10 site in Singapore. You will transform Facilities Mechanical operations through artificial intelligence, advanced analytics and smart technologies, improving reliability, predictive maintenance, energy efficiency, operational decision-making and workforce productivity across the mechanical systems that support semiconductor manufacturing.

Key responsibilities

• Work with Facilities Mechanical, Controls, Automation, IT and Operations teams to bring smart technologies into systems such as HVAC, chillers, cooling towers, process cooling water, exhaust, scrubbers, boilers, CDA and cleanroom air systems.
• Develop, deploy and sustain AI, machine learning and data-driven solutions that improve reliability and maintenance effectiveness.
• Design predictive maintenance models using equipment, sensor, SCADA, historian and maintenance data to predict failures and reduce unplanned downtime.
• Build dashboards, analytical tools and decision-support applications for maintenance planning, alarm management, asset health monitoring, spare optimization, project tracking and energy performance management.
• Apply statistical analysis, anomaly detection and root cause methods to operational data to speed up troubleshooting of system events and production interruptions.
• Drive digitalization of maintenance workflows, including automated reporting, work order prioritization, knowledge capture and AI-assisted troubleshooting guidance.
• Partner with engineering teams on digital twins, simulation models or asset performance models for capacity planning and scenario analysis.
• Identify ways to reduce electricity, water, waste and operating costs through AI-enabled optimization aligned with sustainability goals.
• Ensure data quality, model governance, cybersecurity awareness and compliance with company policies, engineering standards and environmental, safety and health requirements.
• Translate business problems into scalable AI use cases, track value through uptime, productivity, energy savings and cost avoidance, and support training and change management.

Required profile

• Bachelor's degree in Mechanical Engineering, Mechatronics, Data Science, Computer Engineering, Artificial Intelligence or a related discipline.
• Minimum 3 years in Facilities Mechanical Systems, or 5 years developing AI and smart solutions for facilities, manufacturing or industrial environments.
• Strong knowledge of mechanical utility systems such as HVAC, chilled water, cooling towers, exhaust, scrubbers, compressed air, process cooling water and cleanroom systems.
• Experience in predictive maintenance, data analytics, machine learning, anomaly detection or industrial AI.
• Strong problem-solving, root cause analysis, communication, analytical and documentation skills, and willingness to work in a fast-paced manufacturing environment.

Required skills

• Python, SQL, Power BI or other data analysis and automation tools.
• Familiarity with SCADA, BMS, PLC, historian databases, CMMS or IoT platforms.