Manufacturing Engineer: NPI & Process Improvement

Stevanato Group; Fishers (IN); On-site; USD 75,000 - 110,000; Full time

Job summary

Stevanato Group is seeking a Manufacturing Engineer in Fishers, IN to develop, maintain, and improve manufacturing processes across the full production lifecycle. You will collaborate with Operations, Quality, Maintenance, Automation, and Supply Chain to ensure safe, efficient, and compliant production.

Responsibilities include new product introduction support, process validation, and continuous improvement using Lean methods, CAPA, and data analysis.

Qualifications

• Bachelor's degree in engineering required.
• Five+ years in medical device manufacturing preferred.
• Lean/Value Stream Mapping and continuous improvement knowledge.

Responsibilities

• Own end-to-end manufacturing process including material flow, setup, processing, assembly, and transfer.
• Provide floor-level engineering support to resolve production issues involving equipment, tooling, fixtures, materials, methods, automation, documentation, and operator workflow.
• Partner with Operations and Maintenance to reduce downtime and process interruptions.
• Develop process flow diagrams, value stream maps, line layouts, standard work, and capacity models.
• Ensure processes remain validated and controlled in routine production.
• Monitor KPIs: quality, yield, scrap, cycle time, capacity, and throughput.

Skills

Process improvement

Troubleshooting

Cross-functional

Data analysis

Education

Bachelor's degree in Industrial Engineering

Mechanical Engineering

Manufacturing Engineering

Tools

ERP

MES

EAM

Job description

Stevanato Group is seeking a Manufacturing Engineer in Fishers, IN to develop, maintain, and improve manufacturing processes across the full production lifecycle. You will collaborate with Operations, Quality, Maintenance, Automation, and Supply Chain to ensure safe, efficient, and compliant production.

Responsibilities include new product introduction support, process validation, and continuous improvement using Lean methods, CAPA, and data analysis.