Industrial Engineer (E4)

Applied Materials•Austin, CA

8d•Hybrid

About The Position

Recognized as an expert within the company. Anticipates internal and or external business challenges and/or regulatory issues; recommends process, product or service improvements. Solves unique and complex problems that have a broad impact on the business. Engages with internal and external customer to identify and quantify productivity and efficiency improvement opportunities for a factory and equipment by utilizing Industrial Engineering methods, analytics, Lean Operations, Six Sigma and OR (Operation Research) models. Leads project teams to achieve milestones and objectives.

Requirements

Bachelor's Degree or master’s degree in Industrial Engineering.
7+ years in semiconductor industry preferred
3+ Years of Continuous Improvement experience required

Nice To Haves

Green Belt, Black Belt certification preferred.

Responsibilities

Manages and participate in complex Industrial Engineering and Operations Research related projects to improve semiconductors productivity and efficiency.
Conduct a current-state assessment of business processes and identification of improvement opportunities.
Based on this assessment, design, implement, and manage process improvement initiatives utilizing Lean Operations, Six Sigma methodologies.
Train, mentor, and coach Champions, in the use of Lean Operations, Six Sigma tools and methodology to ensure timely completion of projects with expected client results.
Participate in productivity improvement studies such as cycle time reduction, Gemba and output improvement, and implementation in related to effective and efficient use of assets and production processes.
Use Industrial Engineering technique such as simulation, value stream analysis, business process re-engineering, lean operations, six sigma and Gemba to analyze and quantify and improve semiconductors fab’s operations.
Develops continual improvement roadmap and oversees the deployment of these strategies across multiple functions.
Used Applied Materials software (Simulation and other propriety applications) to develop models to automate the process of data analytics.
Develop and implement models for cost, capacity, staffing and cycle time.
Manage cost of ownership projects (CoO).
Engage with customers to identifying and driving cost reduction, quantify the value of CIP’s and improvement projects, develop a CoO pareto with Year over Year targets and roadmap.