Aerospace Manufacturing Engineer: Lean & Data-Driven

RTX; Wilson (NC); On-site; USD 37,000 - 82,000; Full time

Benefits offered by this job

Benefits package

Medical benefits

401(k) match

Paid time off

Job summary

RTX is seeking a motivated Manufacturing Engineering student or recent graduate for a co-op/internship role at our Wilson, NC facility. You will assist in developing, improving, and optimizing manufacturing processes, support production teams, and help collect data for cost savings.

You’ll gain hands-on experience with lean manufacturing, Six Sigma tools, CAD software, and data analysis tools while collaborating with cross-functional teams.

Qualifications

• Pursuing a Bachelor's or advanced degree in Manufacturing Engineering, Mechanical Engineering or related STEM field and remain actively enrolled through the duration of the co-op.

Responsibilities

• Assist in developing, improving, and optimizing manufacturing processes.
• Support production teams with troubleshooting equipment and process issues.
• Collect and analyze data to identify process improvements and cost savings.
• Contribute to equipment selection, process validation, and layout optimization.
• Create and update process documentation and work instructions.
• Participate in lean manufacturing and continuous improvement initiatives.

Skills

Manufacturing Engineering

Data analysis

CAD software

Lean Six Sigma

Process optimization

Python

Power BI

Minitab

SQL

Excel

Education

Bachelor's in Manufacturing Eng

Mechanical Engineering

STEM field

Tools

SolidWorks

AutoCAD

Power BI

Minitab

SQL

Python

Job description

RTX is seeking a motivated Manufacturing Engineering student or recent graduate for a co-op/internship role at our Wilson, NC facility. You will assist in developing, improving, and optimizing manufacturing processes, support production teams, and help collect data for cost savings.

You’ll gain hands-on experience with lean manufacturing, Six Sigma tools, CAD software, and data analysis tools while collaborating with cross-functional teams.