Intern, Manufacturing Engineering

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Collins Aerospace, an RTX company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio and expertise to solve customer’s toughest challenges and to meet the demands of a rapidly evolving global market.

Collins Aerospace makes modern flight possible through advanced engineering and innovation across more than 180 sites in 24 countries. Our experts set the standards for the aerospace industry — and we’re looking for fresh, motivated minds to help us shape the future.
Join us and be part of an engineering culture that values curiosity, creativity, and integrity as we work together to achieve what others can only imagine.

About the Internship

Join the Engineering team at Collins Aerospace, where precision, collaboration, and continuous improvement drive every aspect of aerospace manufacturing.
As a Productivity & Process Optimization Intern, you will support efforts to improve machining throughput, reduce waste, and achieve a targeted 5% productivity improvement. You will work closely with engineers and production teams to conduct data-driven studies, enhance CAD/CAM programming efficiency, and drive meaningful operational improvements.

This internship provides hands-on exposure to time studies, process analysis, and NX CAD modelling, offering a unique opportunity to develop strong analytical and engineering problem-solving skills.

What You Will Learn

• Gain exposure to various manufacturing processes, enabling informed decisions for process improvements.
• Learn to identify inefficiencies and recommend improvements through critical thinking and structured analysis.
• Develop skills in data interpretation, performance evaluation, and project outcome measurement.
• Build experience in preparing, delivering, and presenting technical reports for management review.
• Strengthen collaboration and communication skills through cross-functional engagement.
• Build a results-driven mindset by managing assigned tasks effectively and meeting project timelines.
• Enhance problem-solving abilities by applying engineering principles to real manufacturing challenges.

What You Will Work On

• Support productivity improvement goals by analyzing processes and identifying waste reduction opportunities.
• Conduct time and motion studies to evaluate operational steps, cycle time, and workflow efficiency.
• Perform data collection and analysis on production, quality, and performance metrics to identify trends and root causes.
• Enhance CAD/CAM programming efficiency and machining throughput using NX or other CAD/CAM tools.
• Support improvement projects with engineering teams to develop and implement corrective or optimization actions.
• Collaborate with cross-functional stakeholders to ensure improvements are executed and results are tracked.
• Assist in documenting findings, preparing reports, and presenting outcomes for review by engineering leadership.

What You’ll Gain

• Understand how different manufacturing processes influence productivity and quality.
• Gain hands-on experience in process improvement methodologies and real-world implementation.
• Develop the ability to specify, predict, and evaluate results from improvement projects.
• Strengthen your ability to create and present professional reports for management.
• Build strong team collaboration skills through cross-functional work.
• Enhance analytical and engineering problem-solving capabilities.
• Apply NX CAD and related tools for modelling, drafting, and process optimization.

What You Will Need

• Strong time management and organizational abilities.
• Good communication skills for cross-functional collaboration.
• High attention to detail in data analysis and reporting.
• Proficiency in Microsoft Excel and PowerPoint.
• Basic knowledge of Power BI or Tableau for data visualization.
• Experience with either SolidWorks, Mastercam, or Hypermill.

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.  

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