This is an exceptional opportunity for individuals who enjoy combining engineering, business operations, data analytics, and emerging AI technologies to drive measurable business impact. Successful candidates will gain broad exposure across the product lifecycle while helping scale digital transformation initiatives and operational strategies across a global semiconductor network.
Main Responsibilities
Drive New Product Introduction and Product Lifecycle Execution
Support products from technology development and engineering builds through qualification, customer sampling, manufacturing ramp, and high-volume production.
Coordinate execution across Product Engineering, Manufacturing, Planning, Supply Chain, Program Management, and Quality organizations.
Drive operational readiness, schedule commitments and execution strategies that enable successful product qualification, customer engagement, and manufacturing ramp.
Identify execution risks early and drive recovery plans to protect key business and customer milestones.
Enable smooth transitions from development to manufacturing through structured operational readiness planning.
Influence cross-functional decisions that balance customer commitments, manufacturing constraints, development objectives, and business priorities.
Optimize Inventory and Material Health
Drive inventory strategy, visibility, and decision-making across engineering and manufacturing networks.
Identify opportunities to improve inventory utilization, reduce aging inventory, minimize waste, and improve material recoverability.
Partner with engineering and operations teams to support inventory disposition, reuse, repurpose, consolidation, and recovery activities.
Develop scalable governance mechanisms that prevent recurring inventory accumulation and improve operational discipline.
Improve Cost and Operational Efficiency
Lead data-driven initiatives that improve cost competitiveness and operational efficiency by reducing cycle time, inventory exposure, material waste, and overall operating costs.
Apply structured problem-solving techniques to identify root causes and implement sustainable solutions.
Drive continuous improvement initiatives that improve productivity, manufacturing efficiency, and business outcomes.
Quantify business impact and ensure improvements are measurable and sustainable.
Enable Advanced Engineering and Development Programs
Support complex engineering initiatives, development programs, and advanced technology projects.
Coordinate operational readiness across engineering, manufacturing, planning, and supply chain organizations.
Enable operational readiness and scalable execution for next-generation technologies, advanced development programs, and future product platforms.
Ensure appropriate governance, traceability, and risk management for engineering material and development activities.
Lead Cross-Functional Programs and Change Initiatives
Lead projects from opportunity identification through implementation and sustainment.
Align stakeholders across engineering, manufacturing, planning, supply chain, quality, and business teams.
Facilitate reviews, workshops, issue resolution forums, and executive discussions.
Drive alignment and influence decision-making across multiple organizations without direct authority.
Drive Operational Excellence and Governance
Develop scalable processes, operating models, governance frameworks, and business controls.
Define ownership structures, escalation paths, and accountability mechanisms.
Establish scalable operating mechanisms, best practices, knowledge systems, and organizational capabilities that improve consistency and execution excellence.
Promote a culture of continuous improvement, collaboration, and operational excellence.
Deliver Data, Analytics, AI, and Digital Transformation
Collect, integrate, and analyze data across engineering, manufacturing, planning, and supply chain ecosystems.
Develop dashboards, KPIs, predictive analytics, business intelligence solutions, and decision-support capabilities.
Translate complex data into actionable insights, risk signals, recommendations, and executive-level decision support.
Identify and implement opportunities to improve business outcomes through analytics, AI, automation, and digital technologies.
Design and deploy scalable AI-enabled applications, workflow automations, and agentic solutions supporting operational planning, inventory management, risk detection, reporting, and execution.
Establish governance and change-management practices that enable responsible, sustainable, and measurable adoption of digital and AI-enabled capabilities.
AI Responsibilities
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.
Other Responsibilities
Faster and more predictable new product introductions.
Improved operational readiness and execution performance.
Lower inventory exposure and improved inventory health.
Reduced cost, cycle time, and process waste.
Earlier identification and mitigation of business risks.
Improved decision quality through analytics and AI-enabled insights.
Successful deployment of digital, automated, and agentic workflows.
Stronger cross-functional collaboration and ownership alignment.
Sustainable processes supported by governance, documentation, and accountability.
Minimum Required Qualifications/Experience
Bachelor's degree in Electronics & Electrical Engineering, Mechanical Engineering, Industrial Engineering, Manufacturing Engineering or a related technical discipline.
Experience in semiconductor manufacturing, product engineering, industrial engineering, supply chain, planning, operations, analytics, or related technical functions.
Experience supporting New Product Introduction (NPI), product lifecycle management, manufacturing operations, inventory management, or operational excellence initiatives.
Demonstrated experience leading or supporting cross-functional projects, process improvements, or business transformation initiatives.
Experience developing analytics solutions, dashboards, reporting platforms, workflow automations, or decision-support systems.
Highly Desirable/Preferred skills or experience
Strong analytical, data interpretation, and structured problem-solving capabilities.
Excellent communication, stakeholder management, influencing, and cross-functional collaboration skills.
Ability to translate complex data into actionable insights, business recommendations, and executive-level communications.
Ability to think systematically across engineering, manufacturing, supply chain, and business processes while balancing competing objectives and constraints.
Experience applying AI, analytics, automation, or digital solutions to improve business processes, decision-making, operational efficiency, or organizational productivity. Familiarity with Microsoft Copilot, Claude Code, or similar AI-enabled technologies is advantageous.
Familiarity with SAP, MES, planning, manufacturing execution, or operational data platforms.
Strong project management, prioritization, and change-management skills with the ability to drive initiatives from concept through adoption.
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
Speed – Act with purpose and set the pace
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
