Manufacturing Process Engineer — Design & Optimization

Celestica Inc.; Apodaca; Presencial; MXN 180.000 - 320.000; Jornada completa

Descripción de la vacante

Celestica Inc. is seeking an Engineer, Manufacturing Process to design and implement advanced manufacturing processes for customer products.

The role involves developing software and tooling for complex machines, and applying statistical methods to optimize resources, throughput, and cost efficiency. The successful candidate will work with cross-functional teams to resolve production issues and provide feedback on manufacturability of designs, under supervision, in a dynamic manufacturing

Formación

• Design, develop, and implement new manufacturing processes to support customer products.
• Develop application software and tooling for a series of complex machines and mechanical process steps within a manufacturing sector.
• Execute with support, capability of machines and process steps using Design of Experiments and statistical methods to ensure maximum utilization of critical resources, maximum throughput, minimum cost and capacity growth; involves integrating equipment, people, material flow, and information systems.
• Solve technical product, process, component, and related problems that affect the efficient operation and/or manufacture of products.
• Provide feedback to product designers on suitability of designs for manufacturability with supervision.

Responsabilidades

• Design, develop, and implement efficient manufacturing processes.
• Develop software/tools for complex machinery and processes.
• Apply DoE and statistics to optimize resources, throughput, and cost.
• Troubleshoot and resolve production problems affecting efficiency.
• Provide manufacturability feedback to designers under supervision.

Conocimientos

Process Engineer

Manufacturing Engineer

Design of Experiments

Statistical Methods

Educación

Bachelor degree

Descripción del empleo

Celestica Inc. is seeking an Engineer, Manufacturing Process to design and implement advanced manufacturing processes for customer products.

The role involves developing software and tooling for complex machines, and applying statistical methods to optimize resources, throughput, and cost efficiency. The successful candidate will work with cross-functional teams to resolve production issues and provide feedback on manufacturability of designs, under supervision, in a dynamic manufacturing