Industrial Engineer — Lean, Data-Driven Manufacturing

Applied Materials, Inc.; Austin (TX); In loco; USD 79.000 - 108.000; Tempo pieno

Descrizione del lavoro

Applied Materials, Inc. in Austin, TX is seeking an Industrial Engineer focused on methods engineering and manufacturing improvements. You will design processes, study workflows, and drive data-driven optimization across production lines.

The role emphasizes Lean Six Sigma, capacity planning, and cross-functional collaboration to improve safety, quality, delivery, cost, and productivity while supporting digital transformation and NPI initiatives.

Mansioni

• Performs Methods Engineering analysis including process design, time and motion studies, work measurement, line balancing, and recommends manufacturing process and workflow improvements.
• Participates in and/or leads Industrial Engineering projects and programs within assigned areas of responsibility.
• Assists in the implementation and sustainment of improvement initiatives using quality tools, supporting processes, and performance measures.
• Develops, leads, and implements manufacturing facility designs including plant layouts, material handling systems, warehouse operations, material staging areas, and material flow strategies.
• Develops and maintains operational metrics, analytical models, and KPI dashboards to monitor manufacturing performance, identify constraints, and support data-driven decision making.
• Participates in and/or leads continuous improvement initiatives utilizing Lean Manufacturing, Six Sigma, Value Stream Mapping, Kaizen, and waste elimination methodologies to improve safety, quality, delivery, cost, and productivity.
• Develops and utilizes capacity models, simulation tools, and scenario analyses to evaluate production strategies, optimize resource utilization, support strategic planning, and recommend solutions for manufacturing and logistics operations.
• Collaborates with Manufacturing, Supply Chain, Logistics, Quality, Product Engineering, Facilities, Planning, and other cross-functional teams to successfully execute operational improvement, capacity expansion, and new product introduction initiatives.
• Supports manufacturing systems and digital transformation initiatives through the development, deployment, and continuous improvement of manufacturing systems, automation solutions, data analytics tools, digital technologies, and business processes to improve operational efficiency and decision making.
• Calculates, analyzes, and maintains capacity data for materials processing, labor, space, equipment, and production resources.
• Provides guidance to manufacturing and logistics organizations on the effective and efficient utilization of assets and production processes.
• Establishes, documents, and maintains standards, procedures, best practices, and engineering methodologies for assigned areas of responsibility.
• Serves as a role model by demonstrating a strong commitment to safety, integrity, teamwork, and the company's core values while following established protocols, procedures, and regulatory requirements.
• Conducts and/or leads ergonomics and human factors evaluations, recommends improvements, and implements enhancements to work area, workstation, and process designs to improve safety, quality, and productivity.
• Supports new product introductions (NPI) by providing PLC/ePLC deliverables, including manufacturing line design and setup, material flow design, capacity planning, tooling development, and deployment of specialized tooling and fixtures.
• Develops cost analyses, business cases, and return-on-investment calculations to support project selection and prioritization.

Descrizione del lavoro

Applied Materials, Inc. in Austin, TX is seeking an Industrial Engineer focused on methods engineering and manufacturing improvements. You will design processes, study workflows, and drive data-driven optimization across production lines.

The role emphasizes Lean Six Sigma, capacity planning, and cross-functional collaboration to improve safety, quality, delivery, cost, and productivity while supporting digital transformation and NPI initiatives.