EPIC Lab Operations Industrial Engineer

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 the 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.

We are seeking an experienced Industrial Engineer to define and continuously improve the operational model for the EPIC Center. This role will establish how lab operations run day‑to‑day, ensure alignment with business objectives, and drive ongoing measurement and optimization of lab services. In addition to process engineering, the role will manage the business side of lab information systems—collecting requirements, defining solutions, and overseeing roadmaps for internal systems and related projects.

• Salary: $ - $
• Location:
  
  Santa Clara, CA

You’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.

• Design the EPIC Lab Operations Model: develop workflows, service definitions, and role‑based task mapping to ensure efficient and scalable operations.
• Process Analysis & Optimization: identify inefficiencies in lab workflows and implement improvements to reduce cycle time and enhance service quality.
• Performance Measurement: define KPIs and success metrics for lab operations; establish systems for continuous monitoring and reporting.
• Data & Systems Integration: understand lab data domains and digital systems (e.g., MES, scheduling, asset tracking) to propose solutions and requirements that support operational goals.
• Information Systems Management:
  • Gather and document business requirements for lab operations systems.
  • Define functional specifications and collaborate with IT and engineering teams.
  • Develop and maintain system roadmaps aligned with operational priorities.
  • Oversee projects related to lab information systems, ensuring timely delivery and stakeholder alignment.
• Continuous Improvement: use data insights to refine processes, improve resource utilization, and enhance customer experience.
• Cross‑Functional
  
  Collaboration:
  
  act as a liaison between lab operations and enabling functions such as Facilities, EHS, Security, IT, and AIx to ensure seamless integration.
• Documentation & Standards: create and maintain detailed process documentation, SOPs, and operational guidelines.
• Change Management: lead adoption of new processes and tools through stakeholder engagement, training, and feedback loops.
• Integrate 6S principles into end‑to‑end lab workflow design, ensuring workplace organization, visual controls, and standardization are embedded in all operational models.
• Partner with Lab Ops, Facilities, Engineering, and EHS to define 6S‑aligned layouts, material flows, and workstation standards that enhance safety, reduce waste, and improve cycle time.

• Bachelor’s degree in Industrial Engineering or related field; advanced degree preferred.
• 5+ years of experience in industrial engineering, operations management, or lab operations within the semiconductor industry.
• Proven ability to model, analyze, and optimize complex business processes.
• Familiarity with lab data domains and operational systems; ability to define system requirements and…