Engineer, Facilities Automation

NOT LOOKING FOR SCADA ENGINEER OR AUTOMATION ENGINEER (PLEASE READ THE JOB REQUIREMENT)

Ideal skill set: PMP Certified or Yellow Belt Six Sigma

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.

Job Summary:

The Engineer, Facilities Automation helps advance digital transformation across the Facilities organization by developing automation, AI, and data-driven solutions that improve efficiency, simplify processes, and increase insight into business operations. Working closely with cross-functional partners across Facilities, this role finds opportunities to optimize workflows, strengthen data-driven decision-making, and deliver scalable solutions that support business objectives.

This position plays a key role in accelerating the adoption of artificial intelligence within Facilities. The successful candidate will evaluate and implement practical AI use cases, integrate AI-enabled capabilities into everyday processes, and help teams effectively leverage emerging technologies, including Microsoft Copilot. Through collaboration, innovation, and continuous improvement, this role supports productivity, operational excellence, compliance, and long-term business value.

Responsibilities

• Design, develop, and support automation and AI-enabled solutions that improve operational efficiency, streamline workflows, and reduce manual effort across Facilities.
• Collaborate with stakeholders across Construction, Design & Engineering, Electrical, Mechanical, Gas, Water, Warehouse, Sustainability, EHS, and Project Coordination to identify and deliver high-impact process improvements.
• Lead the evaluation and implementation of AI capabilities, including predictive analytics, intelligent monitoring, natural language processing, and decision-support solutions.
• Develop scalable automation frameworks and integrate solutions with enterprise systems, operational processes, and business applications, including SAP and ECBP workflows.
• Create and maintain data integration, reporting, and analytics solutions that transform complex data into meaningful insights and actionable recommendations.
• Measure, monitor, and continuously improve automation and AI solutions to ensure reliability, scalability, accuracy, and business value.
• Lead projects from requirements gathering and solution design through implementation, adoption, and change management while maintaining alignment with safety, quality, and operational standards.
• Foster a culture of innovation and continuous learning by sharing knowledge, coaching team members, and encouraging the effective use of automation, AI, and data-driven tools.

Minimum Requirements:

• Bachelor's degree in Engineering, Computer Science, Automation, Information Systems, or a related field.
• 2+ years of experience developing, supporting, or implementing automation, analytics, and process improvement solutions.
• 2+ years of experience applying data, reporting, and business intelligence tools such as Excel, SQL, Power BI, SharePoint, Microsoft Copilot, UiPath, or similar technologies.
• Experience leading projects and collaborating with cross-functional teams to deliver solutions from concept and design through implementation and adoption.
• Strong analytical, problem-solving, and communication skills, with experience using automation platforms, scripting languages, or workflow technologies to drive business process improvements.

Preferred Requirements:

• Master's degree in Engineering, Computer Science, Automation, Information Systems, or a related field.
• 4+ years of experience applying technologies such as Python, VBA, Snowflake, SAP, Jira, and Confluence.
• Experience integrating AI and automation capabilities into business processes, operational workflows, or enterprise systems.
• Knowledge of data governance, process optimization, guiding organizational transition, and continuous improvement methods.
• Experience developing scalable reporting, analytics, or automation solutions within complex operational or engineering environments.