Process Engineer - Poromerics

Posted Yesterday
Be an Early Applicant
Hiring Remotely in Bellevue, DE, USA
Remote
Junior
Artificial Intelligence • Semiconductor • Chemical • Manufacturing
The Role
Support Poromerics operations by optimizing process technology, equipment, and controls. Apply SPC, PSM, and continuous improvement tools to improve yield, capacity, and quality; lead troubleshooting, RCA/FMEA, SOP updates, KPI monitoring, and non-conformance disposition.
Summary Generated by Built In

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 / Overview

The Process Engineer will be responsible for supporting an operations module with the Poromerics operating unit.  The process engineer reports to the Poromerics Technical Area Manager.

Key Responsibilities:

•    Understands all applicable process technology, equipment and control technology. Works with Technical Advising, Product Quality and plant personnel to optimize operations, and meet Business and plant goals. (Production, cost, quality). 
•    Responsible for the application of Process Safety Management for the areas.
•    Participates in advanced troubleshooting and coaches others to learn these skills. 
•    Implements best practices in operations to optimize operations. Ensure Standard Operating Procedures and specific Operating Discipline requirements are in place 
•    Performs appropriate Manage Production roles as determined by Plant / Business. Example: Operate Plant, Operating Discipline, Produce to Plan / Record Production, etc. 
•    Understands and applies skills and knowledge in Statistical Process Control (SPC) technology, to maximize plant asset utilization and produce low cost, quality products. 
•    Review area performance charts on daily basis implementing improvements for OOC process situations and process shifts
•    Initiates change to Plant Operating procedures to ensure they are valid and up to date. Works with Technical Advisor in this respect. 
•    Networks with other engineers on site and within the global business to leverage knowledge on plant operations Example: Production, Improvement, etc. 
•    As required communicate technical information and issues to plant personnel, Technology or Expertise centers. 
•    As required participates on and leads teams.
•    Owns, monitors, and tracks KPIs as required.
•    Implement process improvements in support of reduction of variation, capacity and yield improvement
•    Monitor and improve raw material variability
•    Works with Quality Coordinator, TA and others as required to disposition non-conforming product
•    Conducts and participates in RCA, FMEA, etc. as required.

Required Qualifications:

•    Bachelor’s degree is required; a degree in engineering or related discipline is preferred.  
•    Basic understanding of statistics required.

Preferred Qualifications:

•    0-5+ years of production engineering experience is preferred. 
•    Previous experience with statistical process control (SPC) and analysis strongly preferred.  
•    Previous experience with HVM processing is preferred
•    Experience participating in PHAs is desirable.
•    Experience with interpreting and dispositioning based on analytical results is a plus.
•    Previous experience with Lean Six Sigma or a certification is a plus.
•    Ability to prioritize and complete assigned work independently and within teams.
•    Excellent communication, analysis, troubleshooting and organizational skills.
 

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.

Skills Required

  • Bachelor's degree in engineering or related discipline
  • Basic understanding of statistics
  • 0-5+ years of production engineering experience
  • Experience with Statistical Process Control (SPC) and analysis
  • Previous experience with high-volume manufacturing (HVM) processing
  • Experience participating in Process Hazard Analyses (PHAs)
  • Experience interpreting and dispositioning based on analytical results
  • Lean Six Sigma experience or certification
  • Ability to prioritize and work independently and in teams
  • Excellent communication, analysis, troubleshooting and organizational skills
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
10,000 Employees
Year Founded: 2025

What We Do

Qnity Electronics, Inc. is a premier technology provider across the semiconductor and advanced electronics value chain. It specializes in providing high-performance materials and integration expertise to enable breakthroughs in AI, high-performance computing, and advanced connectivity. Its offerings range from semiconductor chip manufacturing solutions to high-speed transmission materials for complex electronic systems, serving as a critical partner in the global electronics ecosystem.

Similar Jobs

Cox Enterprises Logo Cox Enterprises

OEM Compliance Coordinator (Dealer.com)

Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Remote or Hybrid
United States
50000 Employees
20-30 Hourly
Remote
United States
350 Employees
205K-255K Annually
Remote
United States
350 Employees
240K-290K Annually

Elevate Leadership Logo Elevate Leadership

Sales Development Representative

HR Tech • Professional Services • Sales • Consulting
Remote
United States
14 Employees

Similar Companies Hiring

Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
New York, New York
700 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account