Industrial Engineer Summer Intern (Onsite, Kinston NC)
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most?innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they?provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are?the same.
About the Opportunity
Location : Kinston, NC (On-site)
Duration : Summer Internship (with potential extension based on performance and business needs)
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
We are seeking a motivated Industrial/Manufacturing/Supply Chain Engineering Intern to join our team onsite at a major aerospace manufacturing facility in Kinston, North Carolina. This internship provides hands-on exposure to real-world manufacturing and supply chain operations within a highly regulated, high-impact aerospace environment.
As an intern, you will work closely with experienced engineers and operations professionals, supporting initiatives related to data analysis, dashboarding, process improvement, and tool automation. This is an excellent opportunity for students looking to apply classroom concepts in a practical, fast-paced manufacturing setting while gaining exposure to modern digital and operational tools used in aerospace.
Your Responsibilities
Support manufacturing, supply chain, and industrial engineering teams with data collection, analysis, and reporting
Assist in building and maintaining dashboards to track operational, quality, or supply chain performance metrics
Help automate manual or repetitive processes using tools such as Excel, Power BI, Python, or similar platforms
Participate in process improvement initiatives, including workflow analysis, bottleneck identification, and efficiency improvements
Collaborate with cross-functional teams including operations, quality, planning, and engineering
Document processes, tools, and findings to support knowledge sharing and continuous improvement
Must Have Qualifications
Currently pursuing a Bachelor's Degree in:
Manufacturing Engineering, Industrial Engineering, Supply Chain Management OR a closely related engineering or technical discipline
Strong analytical mindset with interest in manufacturing operations and data-driven decision-making
Proficiency in Microsoft Excel; familiarity with Power BI, or similar tools
Ability to work on-site in Kinston, NC
Strong communication skills and willingness to learn in a team-based environment
Preferred Qualifications
Exposure to dashboarding or data visualization
Basic experience with automation, scripting, or data tools (e.g., Power BI, VBA)
Interest in aerospace, advanced manufacturing, or industrial operations
Coursework or projects related to Lean Manufacturing, Six Sigma, or process optimization
What You'll Gain
Hands-on experience in a major aerospace manufacturing environment
Exposure to real operational data, tools, and decision-making processes
Mentorship from experienced engineers and industry professionals
Practical experience with dashboarding, analytics, and automation
A strong foundation for future careers in manufacturing, supply chain, or industrial engineering
The base compensation range for this role in the posted location is: $10,000.00
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Ref. code: 435037
Posted on: Mar 13, 2026
Experience Level: Students/Graduates?
Contract Type: Permanent
Location:
Atlanta, GA, US
Brand: Capgemini Engineering
Professional Community: Manufacturing & Operations Engineering
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
