About the role
Who We Are
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
What We Offer
Location:
Hsinchu,TWN, Linkou,TWNYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.
Key Responsibilities
- Lead global Industrial Engineering (IE) standardization for warehouse sizing, storage utilization, labor planning, productivity measurement, and capacity forecasting.
- Develop and maintain scalable analytical models for capacity planning, labor forecasting, productivity management, storage optimization, and network growth scenarios.
- Evaluate warehouse expansion opportunities, including layout optimization, racking conversions, storage improvements, and new site assessments.
- Validate automation proposals from Operations and Network Operations using IE methodologies and business case analysis.
- Quantify automation benefits, including labor savings, productivity improvements, space utilization, throughput gains, cost reduction, ROI, and payback.
- Identify and drive low-cost automation and process improvement opportunities through IE studies, value stream analysis, and operational observations.
- Lead continuous improvement initiatives to enhance operational efficiency, productivity, service levels, and cost performance.
- Integrate data from Planning, Operations, Network Operations, and other functions to develop end-to-end datasets for modeling and decision support.
- Develop analytical tools and models to support capacity planning, labor management, network expansion, and operational performance analysis.
- Partner with reporting teams to translate IE models into actionable dashboards and reporting solutions that support business and operational decisions.
- Utilize and support reporting platforms such as Tableau, Celonis, and Power BI; experience enhancing dashboards and reports through data manipulation and visualization improvements is preferred.
- Collaborate with regional IE teams to deploy global standards, validate automation implementations, and incorporate operational feedback.
- Drive cross-functional collaboration across Operations, Planning, Network Operations, IT, and Supply Chain to support data-driven decision making and process improvement.
Other Requirements
- Bachelor’s degree in Industrial Engineering, Data Analytics, Logistics, Engineering, or a related field.
- Minimum 5 years of experience in Industrial Engineering, data analytics, warehousing, logistics, supply chain, or related industries.
- Strong experience in labor management, productivity analysis, capacity planning, facility layout design, and process optimization.
- Proven analytical and quantitative skills with experience developing business cases and ROI analyses.
- Advanced proficiency in Microsoft Excel and analytical tools such as JMP.
- Working knowledge of SQL and business intelligence platforms including Tableau, Celonis, or Power BI.
- Experience evaluating warehouse automation technologies and material handling systems is preferred.
- Willingness to travel as required for site assessments, operational reviews, and project implementation.
- Ability to work in warehouse environments, including periodic standing, walking, stair climbing, and observation of operational activities.
Functional Knowledge
Demonstrates advanced knowledge of Industrial Engineering principles, warehouse operations, labor planning, productivity analysis, capacity modeling, process optimization, and operational analytics. Applies data-driven methodologies to improve performance, evaluate automation opportunities, and support strategic planning. Possesses working knowledge of data integration, reporting tools, warehouse design, and material flow analysis.
Business Expertise
Understands warehousing, logistics, and supply chain operations, including key cost drivers, operational metrics, and industry best practices. Recognizes how Industrial Engineering solutions support business growth, network expansion, operational scalability, and financial performance. Balances operational requirements, customer expectations, and business objectives when developing recommendations.
Leadership
Serves as a subject matter expert in Industrial Engineering, operational analytics, productivity improvement, and automation assessment. Leads cross-functional projects and collaborates effectively across regions and functions. Provides technical guidance and promotes standardization, knowledge sharing, and best-practice adoption across the organization.
Problem Solving
Applies structured analysis, modeling, and Industrial Engineering methodologies to solve complex operational challenges. Evaluates multiple data sources, identifies root causes, and develops practical, scalable solutions. Exercises sound judgment in balancing operational, technical, and financial considerations while driving continuous improvement.
Impact
Influences global warehouse capacity planning, storage optimization, labor productivity, automation investments, and operational efficiency initiatives. Improves planning accuracy, reduces operating costs, increases productivity, and enhances readiness for network growth and expansion. Supports strategic decision-making through analytical models, reporting solutions, and actionable insights.
Interpersonal Skills
Communicates complex analytical and operational concepts effectively to both technical and non-technical audiences. Builds strong partnerships across Operations, Planning, Network Operations, IT, Supply Chain, and regional teams. Facilitates collaboration, alignment, and knowledge sharing while influencing stakeholders through data-driven recommendations.
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
YesApplied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
Aplyr's read
Applied Materials is a leader in materials engineering, attracting professionals focused on advancing semiconductor, display, and solar technologies.
What's promising
- •Strong market position in semiconductor equipment manufacturing.
- •Consistent investment in R&D for technological advancement.
- •Diverse product portfolio across semiconductor, display, and solar industries.
What to watch
- •High dependency on the cyclical semiconductor industry.
- •Intense competition from other technology and engineering firms.
- •Potentially high pressure work environment due to industry demands.
Why Applied Materials
- •Pioneers in materials engineering with specialized equipment and software.
- •Integration of advanced technologies in semiconductor manufacturing.
- •Comprehensive solutions spanning multiple high-tech industries.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Applied Materials
Applied Materials is a leader in materials engineering solutions, providing equipment, services, and software to the semiconductor, display, and solar industries.
