- Location
- NA-US-DE-CHESTNUT_RUN_PLAZA (EL), United States of America · Marlborough, Massachusetts · Towanda, Pennsylvania · Pasadena, Texas · Newark, Delaware · Schaumburg, Illinois · Circleville, Ohio
- Workplace
- Onsite
- Type
- Full-time
- Department
- Engineering
- Seniority
- Entry
- Education
- Master
- Visa
- Not sponsored
- Source
- Workday
Description
Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.
At Qnity, we’re more than a global leader in materials and solutions for advanced electronics and high-tech industries – we’re a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.
At Qnity, our Early Career LEAP Rotational Program is designed to develop the next generation of engineering leaders through meaningful experiences across manufacturing, technology, automation, digital, and operations. We are seeking curious, agile, and collaborative engineers who are eager to solve complex challenges, leverage emerging technologies, drive innovation, and make a measurable impact from day one.
Through structured rotational assignments, participants gain broad business exposure, technical expertise, leadership development, and mentorship while building a strong foundation for long-term career success at Qnity. Participants will have opportunities to work on initiatives involving advanced manufacturing technologies, automation systems, digital manufacturing, smart factory concepts, process optimization, data analytics, and operational excellence.
In this program, you will contribute to projects focused on process improvement, product quality, equipment reliability, safety, automation, digital transformation, manufacturing intelligence, and business performance.
Rotational Opportunities May Include
Production/Process Engineering
Manufacturing Technology
Automation & Process Control
Digital Manufacturing & Smart Factory Initiatives
Equipment Reliability & Maintenance
Continuous Improvement
Product Quality
Technical Service
Operations Leadership
Data Analytics & Process Optimization
Program Locations
Participants may complete rotations at one or more of the following U.S. locations:
Wilmington, DE
Newark, DE
Marlborough, MA
Schaumburg, IL
Bayport, TX
Circleville, OH
Towanda, PA
Minimum Qualifications
Pursuing or holding a Bachelor's or Master's degree in Chemical Engineering, Mechanical Engineering, Electrical Engineering, or a related engineering discipline from an ABET-accredited institution at the time of employment.
Minimum GPA of 3.0 on a 4.0 scale.
At least six months of relevant paid internship, co-op, or equivalent engineering experience.
Legal right to work in the U.S. without current or future need for visa sponsorship.
Program Expectations
100% geographic flexibility to support developmental opportunities across program locations.
Willingness to relocate as business and development needs require.
Willingness to provide plant or manufacturing area support, including on-call responsibilities when required.
Commitment to completing a structured rotational program consisting of a minimum of 3 assignments, each approximately 18 months.
Ability to work effectively in manufacturing, operations, technical, automation, and digital manufacturing environments while collaborating across multiple functions.
Preferred Qualifications
Demonstrated leadership experience through academic, professional, or extracurricular activities.
Strong initiative, adaptability, learning agility, and problem-solving skills.
Experience with automation, controls, robotics, manufacturing systems, or digital technologies.
Exposure to data analytics, process modeling, visualization tools, manufacturing intelligence platforms, or digital workflow tools.
Knowledge of continuous improvement methodologies and data-driven decision making.
Six Sigma Green Belt certification, or willingness to obtain certification during the program.
Exposure to root cause analysis, process hazard analysis, manufacturing operations, process safety, or automated production systems.
Why Join Qnity?
Join an industry-leading, world-class company with deep materials science expertise, advanced manufacturing capabilities, and a strong culture of innovation. As a member of the Early Career LEAP Rotational Program, you will gain experience across multiple engineering disciplines while helping drive the future of manufacturing through automation, digital technologies, data-driven decision making, and continuous improvement.
You will work alongside experienced technical and business leaders, build a powerful professional network, and develop the technical, operational, automation, digital manufacturing, and leadership capabilities needed to accelerate your career. Our rotational program provides a unique opportunity to gain exposure to both engineering fundamentals and the advanced manufacturing technologies shaping the future of the industry.
You will become part of a distinguished community of program alumni who have advanced into key technical, operational, and business leadership roles across Qnity.
Join our Talent Community to stay connected with us!
Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.
Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.
We use Artificial Intelligence (AI) to enhance our recruitment process.
