Senior Digital Manufacturing Engineer - Transformation Lead

Plexus Corp.; Neenah (WI); On-site; USD 85,000 - 141,000; Full time

Job summary

Plexus Corp. in Wisconsin seeks a Senior Digital Manufacturing Operations Engineer to optimize and manage manufacturing processes using digital tech. You will provide on-site support in Guadalajara to close knowledge gaps and align operations with global strategy.

You will apply automation, data analytics, simulation, and machine learning to improve efficiency, quality, and agility while implementing digital solutions that reduce costs and boost performance across production lines.

Qualifications

• Bachelor’s degree in Engineering or related field.
• 4+ years of related experience.
• Preference for internal candidates; familiarity with GSF and SRV roadmap is desirable.

Responsibilities

• SRV support & operational alignment: primary contact for daily SRV escalations; align SRV operations with global strategy.
• Strategic digital transformation: participate in the Demo project; identify gaps between current systems and new requirements.
• Innovation & technical mentorship: develop manufacturing solutions and mentor site team.
• Communication & reporting: communicate with customers; translate SRV issues into high-level plans and presentations.
• Project documentation: maintain technical and site-specific documentation per standards and change management.
• Independence: work independently across multiple phases of the Manufacturing Process.

Skills

Analytical thinking

Problem-solving

Decision-making

Leadership

Communication

Education

Bachelor’s Degree in Engineering or related field

Tools

CAD/CAM software

PLM systems

Simulation software

Data analysis software (SPC)

Job description

Plexus Corp. in Wisconsin seeks a Senior Digital Manufacturing Operations Engineer to optimize and manage manufacturing processes using digital tech. You will provide on-site support in Guadalajara to close knowledge gaps and align operations with global strategy.

You will apply automation, data analytics, simulation, and machine learning to improve efficiency, quality, and agility while implementing digital solutions that reduce costs and boost performance across production lines.