Warehouse Engineer

Job Summary:  

As a Warehouse Engineer, you are responsible for managing and optimizing warehouse and material operations, including Receiving, Storage, Issuance, and Site Process Stewardship. The role ensures compliance with policies, safety regulations, and process standards while leveraging AI-driven tools and analytics to enhance efficiency, accuracy, and continuous improvement. 

Main Responsibilities: 

• Oversee daily Receiving operations and resolve operational issues promptly. 

• Ensure timely completion of receipts for all incoming shipments and materials. 

• Develop workflows, operating procedures, and maintain documentation controls. 

• Drive standardization and process improvements for warehouse operations using AI-based process optimization tools. 

• Coordinate with internal teams and suppliers to rectify discrepancies (e.g., damages, shortages). 

Warehouse Management 

• Manage day-to-day warehouse operations, including storage and item issuance. 

• Monitor inventory levels and ensure 100% cycle count accuracy (KPI)  

• Ensure materials issuance are following First expiry first out.  

• Ensure material disposition complies with Intellectual Property (IP) protection requirements.  

• Monitor and ensure compliance with cold storage requirements and verify that equipment is calibrated and maintained on a regular basis.  

• Conduct regular audits and identify improvement opportunities. 

• Develop and implement strategies to enhance efficiency and productivity through automation and AI insights. 

• Ensure compliance with safety regulations and warehouse policies. 

• Provide excellent customer service to internal and external stakeholders. 

ASRS (Automated Storage and Retrieval System) Management 

• Oversee operations of ASRS to ensure optimal performance and uptime. 

• Optimize storage configurations and retrieval processes for speed and accuracy. 

• Collaborate with IT and engineering teams for system upgrades and troubleshooting. 

• Train staff on ASRS operations and safety protocols. 

• Collaborate with the automation team to identify and implement projects that enhance productivity and improve efficiency. 

Team Leadership 

• Supervise and train warehouse staff; assign tasks, monitor performance, and provide feedback. 

• Ensure sufficient manpower resources for all warehouse activities. 

• Coach and develop team members; conduct team meetings as needed. 

• Maintain a safe working environment for all personnel. 

• Introduce AI-assisted training modules and dashboards for performance monitoring. 

Site Process Stewardship 

• Act as the point of contact for process-related activities and communications at site level. 

• Organize and host business process reviews; demonstrate compliance with standards. 

• Deploy standard methods, tools, and customer requirements at site(s). 

• Maintain local procedures, workflows, and checklists as job aids. 

• Report process performance and manage site-level risks in collaboration with system-level process owners. 

• Utilize AI-driven risk assessment tools and real-time process monitoring dashboards for compliance and improvement. 

Other Responsibilities:

• Collaborate with stakeholders to maintain optimal inventory levels and avoid overstock or shortages. 

• Identify cost-saving opportunities through process automation, supplier collaboration, and resource optimization. 

• Implement continuous improvement initiatives to reduce operational costs without compromising service quality. Deploy appropriate AI-driven solutions in achieving effective and efficient outcomes for self and teams

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. 

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. 

Job Requirements/Qualification/ Selection Criteria :

• Bachelors degree in Industrial/Mechanical/Electrical/Computer engineering preferable 

• Demonstrated at least 2 years of leadership skills, such as in university or other co-curricular activities 

• Advance verbal fluency and effective written communication and presentation skills 

• Proficiency in M365 Apps such as Microsoft Excel, Microsoft PowerPoint 

• Proficiency in UI path, Power BI, Tableau and any programing language 

• Highly motivated to work in a dynamic environment and succeed using effective coping and management methods 

• Ability to multi-task and organize work systematically in meeting dead-lines without compromising on quality 

• Prior programming work (inclusive of vibe coding using free Gen AI tools) 

• Hands-on experience in AI (Chatbot, Agentic AI, Automation, etc) tools in academic or work environments, SAP warehouse modules, ASRS (Automated Storage and Retrieval System) Management 

• Internship or experience in the semiconductor industry is a plus 

• Interest in and knowledge of the semiconductor industry and Micron is preferred. 

  Embody Micron’s core values: 

• People – Respect, develop, and empower others 

• Innovation – Drive continuous improvement and breakthrough thinking 

• Tenacity – Show grit and determination 

• Collaboration – Build trust and foster teamwork 

• Customer Focus – Deliver excellence and value 

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes. 
  

  Performs design and development engineering assignments related to activities for equipment and systems layouts in plant, office, and production facilities. Work may encompass studies to determine the efficient sequence of operations and workflow. Recommends processes for maximum utilization of production facilities and personnel. Prepares cost estimates for proposed projects and evaluates cost factors. May participate in testing and implementation of new production systems and interface with research and development and process engineering to plan for future product introduction.