About this role
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.
As a Global Front End (FE) Central Planning Engineer, you will develop manufacturing and capacity-planning strategies that support technology scaling, capital efficiency, and high-volume manufacturing. The role combines semiconductor expertise, quantitative modeling, scenario analysis, and cross-functional leadership to help drive technology, equipment, capacity, and capital decisions across Micron's FE network. You will partner closely with Technology Development (TD), Manufacturing, Engineering, and Planning teams to translate complex business and technical challenges into actionable plans and measurable results.
Key Responsibilities
Modeling & Analysis
- Develop and improve planning models that quantify equipment, capacity, space, and capital requirements.
- Create decision frameworks that connect technology needs, cost, risk, and manufacturing readiness.
- Conduct scenario analysis to evaluate manufacturing strategies, technology roadmaps, and long-term capacity plans.
- Identify trends, risks, opportunities, and trade-offs that impact business and manufacturing performance.
Multi-Functional Leadership
- Partner with Technology Innovation and Manufacturing teams to optimize technology, process, and equipment roadmaps.
- Coordinate project execution across Engineering, Procurement, Manufacturing, and Planning organizations.
- Align collaborators on requirements, ownership, timelines, and deliverables.
- Evaluate trade-offs involving capital investment, capacity, manufacturing readiness, and technology performance.
- Escalate risks and provide solution options when alignment cannot be reached.
Communication & Continuous Improvement
- Present analytical findings and recommendations to leadership and stakeholders.
- Develop scalable data analysis, automated processes, and decision-support tools.
- Leverage AI, programming languages like Python, SQL, and R, alongside Excel and VBA to improve planning efficiency and decision quality.
- Build reusable AI-assisted workflows while ensuring responsible AI usage and data security.
- Grow into a domain expert and technical program leader within assigned planning areas.
Potential Focus Areas
- Technology transitions and new-node manufacturing introductions.
- Strategies for planning machinery and operational volume.
- Fab space utilization and utility-efficiency improvements.
- Capital investment and wafer cost evaluation.
- Tool utilization, reuse, conversion, and throughput optimization.
Minimum Qualifications
- Bachelor's degree or equivalent experience in Engineering, Science, Operations Research, Applied Mathematics, or another field involving quantitative analysis.
- 2+ years of experience in semiconductor manufacturing, process engineering, equipment engineering, technology development, or managing production resources.
- Experience building quantitative models and data analyses using Excel, Python, SQL, or similar tools.
- Experience contributing to multi-functional projects from planning through execution.
- Strong analytical, communication, stakeholder-management, and problem-solving skills.
- Ability to work independently, learn new technical concepts quickly, and adapt to shifting priorities.
Preferred Qualifications
- Master's degree or equivalent experience in a quantitative field such as Engineering, Science, or a closely related area.
- Knowledge of semiconductor production scheduling, front-end manufacturing operations, and technology roadmaps.
- Experience with: Technology transfer from development to high-volume manufacturing. Equipment and capacity modeling. Fab space and utility planning. Capital expenditure (CapEx) and cost-per-wafer analysis.
- Demonstrated success leading multi-functional projects without direct authority over collaborators.
- Experience presenting recommendations and arguments to senior leadership.
- Advanced proficiency with Python, SQL, R, AI-enabled analytics, automation, and reporting tools.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
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To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at [email protected] or 1-800-336-8918 (select option #3)
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.
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