
Process Engineer
Parlin, NJJob$89–140K/yrSeen 1w agoSeen in employer's feed 2 days ago
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Requirements
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Job overview
Qnity seeks a Process Engineer to support Polyimide manufacturing in a batch production environment, acting as the technical expert to drive process optimization, quality improvements, yield enhancement, cost reduction, and operational efficiency while collaborating with operations, maintenance, quality, R&D, supply chain, and commercial teams.
Skills & qualifications
Skills
Qualifications
Full job 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.
Position Summary
Qnity is seeking a Process Engineer. This individual will be responsible for supporting Polyimide manufacturing operations within a batch production environment. This role serves as the technical expert for manufacturing processes, driving process optimization, product quality improvements, yield enhancement, cost reduction, and operational efficiency.
The successful candidate will apply chemical engineering principles, statistical analysis, advanced manufacturing technologies, and data-driven decision making to improve plant performance and support strategic digital manufacturing initiatives. This position works closely with Operations, Maintenance, Quality, R&D, Supply Chain, and Commercial teams to ensure safe, reliable, and efficient production.
This is a 100% onsite position located in our Parlin, New Jersey facility. Candidates who currently live within a daily commutable distance to this location will be given priority.
Please note: Sponsorship is not available now or in the future for this opportuni ty.
What You'll Do
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Provide technical support and troubleshooting for Polyimide manufacturing processes and equipment.
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Monitor process performance, identify improvement opportunities, and drive corrective actions to improve safety, quality, yield, and throughput.
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Lead continuous improvement initiatives focused on process capability, defect reduction, reliability, and operational efficiency.
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Analyze manufacturing and quality data using statistical methods and advanced analytics to identify trends and optimize performance.
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Partner with Operations, Maintenance, Quality, R&D, and Supply Chain teams to resolve technical issues and support production objectives.
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Support digital transformation initiatives through the development of dashboards, KPIs, predictive analytics, and AI-enabled manufacturing solutions.
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Lead investigations related to process deviations, customer complaints, and non-conforming products.
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Serve as a key technical resource for manufacturing operations and process-related decision making.
What We're Looking For
Required Qualifications
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Bachelor's degree in Chemical Engineering or a related technical discipline.
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2+ years of experience in chemical manufacturing, semiconductor manufacturing, electronic materials, specialty chemicals, or advanced manufacturing environments.
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Experience supporting manufacturing processes in a production environment.
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Strong understanding of chemical engineering principles and process chemistry.
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Experience with process troubleshooting, root cause analysis, and continuous improvement methodologies.
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Knowledge of Statistical Process Control (SPC) and process capability analysis.
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Experience with SAP or similar ERP systems.
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Strong analytical, problem-solving, and data interpretation skills.
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Proficiency with Microsoft Office applications.
Preferred Qualification s
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Experience in batch manufacturing environments.
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Six Sigma Green Belt certification.
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Familiarity with Process Analytical Technology (PAT).
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Experience with MES, SCADA, or automated process control systems.
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Knowledge of Power BI, Tableau, or similar data visualization tools.
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Experience applying AI, machine learning, predictive analytics, or advanced process modeling in manufacturing environments.
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Experience with Python, SQL, Minitab, JMP, or similar analytical software.
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Join our Talent Community (https://careers.qnityelectronics.com/us/en/jointalentcommunity) 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 (https://www.qnityelectronics.com/accessibility.html) .
Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page (https://careers.qnityelectronics.com/us/en/compensation-and-benefits-final) .
We use Artificial Intelligence (AI) to enhance our recruitment process.
The Pay range for this role is $88,900.00 - $139,700.00 Annual
How Base Pay is Determined: Qnity has job leveling frameworks that help organize roles based on progressive levels of responsibility, proficiency and qualifications. Each role has an associated pay range (or an established pay rate for some roles) based on the competitive market in each country where we operate. Each individual’s pay is based on a variety of factors, including their role and the associated pay range for that role, their geographic location (i.e., country, state, metropolitan area), as well as their skills, experience, education and certifications, and performance.
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