Manufacturing Engineer II: Lean, Automation & MES

Knorr-Bremse; Bowling Green (KY); On-site; USD 76,000 - 114,000; Full time

Benefits offered by this job

Health insurance

401k plan

Paid vacation

Paid holidays

Parental leave

Annual bonus up to 4%

Job summary

Bendix Manufacturing Engineering in Bowling Green, KY is seeking an engineer to support and improve manufacturing processes, drive Lean initiatives, and lead digital manufacturing projects across reman and OE production cells.

The role emphasizes cross-functional collaboration, automation implementation, and data analytics using MES, Power BI, and IIoT tools. A BS in engineering and 3 years of experience are preferred, with competitive benefits and salary.

Qualifications

• BS/BSET degree in Manufacturing, Industrial or Mechanical Engineering is required.
• Minimum 3 years of experience in manufacturing engineering.
• Familiarity with PLC controls is a plus (Allen Bradley and Siemens).

Responsibilities

• Support and improve manufacturing processes within assigned value streams.
• Drive operational excellence through process optimization and automation initiatives.
• Lead continuous improvement activities to reduce waste and improve safety, quality, delivery, cost and productivity.

Skills

Lean Manufacturing

MES systems

Manufacturing data analytics

Power BI

Digital work instructions

Automation integration

IIoT applications

Structured problem solving

Statistical analysis

Change management

Communication and influencing

Data analytics

Hands on floor support

CAD experience

CNC Programming

Tooling/fixturing design

Education

BS/BSET degree in Manufacturing, Industrial or Mechanical engineering

Tools

Allen Bradley PLCs

Siemens PLCs

Job description

Bendix Manufacturing Engineering in Bowling Green, KY is seeking an engineer to support and improve manufacturing processes, drive Lean initiatives, and lead digital manufacturing projects across reman and OE production cells.

The role emphasizes cross-functional collaboration, automation implementation, and data analytics using MES, Power BI, and IIoT tools. A BS in engineering and 3 years of experience are preferred, with competitive benefits and salary.