Manufacturing Engineer: Automation, Process Optimization & Reliability

Essex Brownell LLC; Fort Wayne (IN); Vor Ort; USD 70.000 - 90.000; Vollzeit

Zusammenfassung

Essex Brownell LLC is seeking a Manufacturing Engineer to design, implement, and optimize manufacturing processes in Fort Wayne, Indiana. You will support maintenance, drive automation initiatives, analyze feasibility of design improvements, and develop SOPs to ensure quality and efficiency.

The role requires strong technical and mathematical skills, knowledge of Six Sigma/Lean practices, and the ability to collaborate with diverse teams to minimize downtime and costs.

Qualifikationen

• Degree in Mechanical, Electrical, or Industrial Engineering Technology is required.
• Experience with production systems, regulations, and standards preferred.
• Strong knowledge of manufacturing methodologies.

Aufgaben

• Designs, implements, and improves manufacturing processes to enhance efficiency, quality, and cost-effectiveness.
• Assist Maintenance with equipment reliability, preventive maintenance, and troubleshooting.
• Collaborate with cross-functional teams to drive innovation and reduce waste.
• Oversee documentation and standard operating procedures.
• Conduct cost analysis and propose cost-saving measures.
• Provide training on new processes and equipment.

Kenntnisse

Problem Solving & Decision Making

Time Management & Planning

Innovation & Continuous Improvement

Accountability & Dependability

Communication & Teamwork

Technical Expertise & Equipment

Risk Analysis & Compliance

Coaching & Mentoring

Ausbildung

Degree in Mechanical, Electrical, or Industrial Engineering Technology

Tools

AutoCAD

3D imaging software

Jobbeschreibung

Essex Brownell LLC is seeking a Manufacturing Engineer to design, implement, and optimize manufacturing processes in Fort Wayne, Indiana. You will support maintenance, drive automation initiatives, analyze feasibility of design improvements, and develop SOPs to ensure quality and efficiency.

The role requires strong technical and mathematical skills, knowledge of Six Sigma/Lean practices, and the ability to collaborate with diverse teams to minimize downtime and costs.