Manufacturing Process Engineer: Drive Quality & Throughput

Celestica; Fort Worth (TX); On-site; USD 70,000 - 100,000; Full time

Job summary

Celestica is seeking an Engineer, Manufacturing Process in Fort Worth, TX, to design, develop, deploy, and optimize processes for manufacturing. You will work to achieve quality, cost, and delivery goals for Celestica and customer products.

Responsibilities include designing and implementing new manufacturing processes, developing tooling for complex machines, and applying DOE and statistical methods to maximize resource utilization, throughput, and capacity growth while reducing costs.

Qualifications

• Design, develop, and implement new manufacturing processes.
• Develop software and tooling for complex machines and processes.
• Use DOE and statistics to maximize throughput and minimize cost.

Responsibilities

• 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.

Skills

Manufacturing processes

Design of Experiments

Statistical methods

Process optimization

Education

Bachelor's degree in Engineering

Job description

Celestica is seeking an Engineer, Manufacturing Process in Fort Worth, TX, to design, develop, deploy, and optimize processes for manufacturing. You will work to achieve quality, cost, and delivery goals for Celestica and customer products.

Responsibilities include designing and implementing new manufacturing processes, developing tooling for complex machines, and applying DOE and statistical methods to maximize resource utilization, throughput, and capacity growth while reducing costs.