Sr Engineer, Fac Mechanical

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Micron is seeking an Fab10 Facilities Mechanical AI Engineer to transform facilities operations through AI, analytics, and smart technologies in Singapore. You will develop AI-driven solutions to improve reliability, energy efficiency, and maintenance productivity across critical mechanical systems used in semiconductor manufacturing.

The role involves collaborating with Facilities Mechanical, Controls, IT, and Operations teams to deploy data-driven tools, build dashboards, and implement digital

Qualifications

• Bachelor’s degree in a relevant engineering or data science field.
• 3+ years in Facilities Mechanical Systems or 5+ years in AI/SMART solutions for facilities/manufacturing.
• Strong knowledge of mechanical utility systems including HVAC, cooling towers, exhaust, and cleanroom systems.
• Experience in predictive maintenance, data analytics, machine learning, anomaly detection, or industrial AI.
• Proficiency in Python, SQL, Power BI or related data analysis/automation tools.
• Familiarity with SCADA, BMS, PLC, historian databases, CMMS, or IoT platforms.

Responsibilities

• Collaborate with cross-functional teams to integrate smart technologies into critical facilities systems.
• Develop, deploy and sustain AI/ML solutions to improve reliability, maintenance and energy performance.
• Design predictive maintenance models using sensor, SCADA, historian, and maintenance data to reduce downtime.
• Build dashboards and decision-support tools for maintenance planning, asset health monitoring, and energy management.
• Apply statistical analysis and anomaly detection to large datasets to improve troubleshooting.
• Drive digitalization of maintenance workflows, automated reporting, and AI-assisted guidance.
• Create digital twins or asset performance models for capacity planning and optimization.
• Identify opportunities to reduce energy, water, and waste through AI-enabled optimization.
• Ensure data quality, model governance, and cybersecurity alignment with standards.
• Translate operational problems into scalable AI use cases with measurable value.

Skills

Python

SQL

Power BI

Automation tools

Education

Bachelor's degree in Mechanical Engineering

Bachelor's degree in Mechatronics

Bachelor's degree in Data Science

Bachelor's degree in Computer Engineering

Bachelor's degree in Artificial Intelligence

Tools

SCADA

BMS

PLC

Historian databases

CMMS

IoT platforms

Job description

Fab10 Facilities Mechanical Artificial Intelligence Engineer

Job DescriptionYou will play a critical role in transforming Facilities Mechanical operations through artificial intelligence, advanced analytics, and smart technologies. This role focuses on developing and deploying AI-driven solutions to improve system reliability, predictive maintenance, energy efficiency, operational decision-making, and workforce productivity across critical mechanical systems supporting semiconductor manufacturing. Your ability to bridge mechanical engineering knowledge with data, controls, and digital tools will help accelerate continuous improvement and enable department and company goals.

Job Responsibilities

• Collaborate with Facilities Mechanical, Controls, Automation, IT, and Operations teams to integrate smart technologies into critical 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 to improve reliability, maintenance effectiveness, and operational performance of Facilities Mechanical systems.
• Design and implement predictive maintenance models using equipment, sensor, SCADA, historian, and maintenance data to identify abnormal patterns, predict failures, and reduce unplanned downtime.
• Collaborate with I&C counterparts to 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 methodologies to large operational data sets to improve troubleshooting speed and accuracy for system events and production interruptions.
• Drive digitalization initiatives for maintenance workflows, including automated reporting, work order prioritization, knowledge capture, and AI-assisted troubleshooting guidance.
• Partner with engineering teams to create digital twins, simulation models, or asset performance models for capacity planning, scenario analysis, and system optimization.
• Identify opportunities to reduce electricity, water, waste, and operating costs through AI-enabled optimization strategies aligned to sustainability goals.
• Ensure data quality, model governance, cybersecurity awareness, and practical deployment of AI tools in accordance with company policies, engineering standards, and operational requirements.
• Translate business and operational problems into scalable AI use cases with measurable outcomes, and track value delivered through uptime improvement, labor productivity, energy savings, and cost avoidance.
• Support training and change management to help site teams adopt AI tools effectively and embed data-driven decision-making into day-to-day mechanical operations.
• Enforce company environmental, safety, and health policies, procedures, risk assessments, and quality standards when designing and deploying AI-enabled solutions in the Facilities environment.

Job Requirements

• Bachelor's degree in Mechanical Engineering, Mechatronics, Data Science, Computer Engineering, Artificial Intelligence, or a related discipline.
• Minimum 3 years of experience in Facilities Mechanical Systems or 5 years of experience developing AI and SMART solutions for facilities, manufacturing, or industrial environments.
• Strong knowledge of mechanical utility systems, including 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 applications.
• Proficiency in Python, SQL, Power BI, or other data analysis and automation tools.
• Familiarity with SCADA, BMS, PLC, historian databases, CMMS, or IoT platforms for equipment monitoring and maintenance.
• Strong problem-solving and root cause analysis skills.
• Ability to translate operational requirements into practical digital solutions and collaborate effectively with cross-functional stakeholders.
• Strong communication, analytical, and documentation skills.
• Willingness to support a fast-paced manufacturing environment.

Working Location

Fab10NXA, 1 North Coast Drive, Singapore 757432

F10W, 1 Woodlands Industrial Park D Street 1, Singapore 738799

About Micron

As the leader in innovative memory solutions, Micron is helping the world make sense of data by delivering technology that is transforming how the world uses information. Through our global brands - Micron and Ballistix - we offer the industry's broadest portfolio. We are the only company manufacturing today's major memory and storage technologies: DRAM, NAND, NOR and 3D XPoint™ memory. Our solutions are purpose built to demonstrate the value of data to unlock financial insights, accelerate scientific breakthroughs and improve communication around the world.