Quality Engineer

Quality Engineer

Work your magic with us! Start your next chapter and join EMD Electronics.

Ready to explore, break barriers, and discover more? We know you've got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet.

That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

Everything we do in EMD Electronics is to help us deliver on our purpose of being the company behind the companies, advancing digital living. We are dedicated to being the trusted supplier of high-tech materials, services and specialty chemicals for the electronics, automotive and cosmetics industries. We foster a global collaborative organization made up of individuals who have the passion to win, obsess about the customer, are relentlessly curious and act with urgency.

Together, we push the boundaries of science to make more possible for our customers.

This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US.

Your Role:

The Quality Engineer will drive quality excellence through statistical process control and data analytics, ensuring world-class outcomes for materials delivered to major semiconductor customers globally. In this role, you will apply statistical methods and process data – from SPC reviews to multivariate analysis – to identify variation, uncover root causes, and guide cross-functional teams toward data-driven corrective and preventive actions. As the voice of the customer, you will partner with the Site Quality Manager to advance quality performance, leveraging automation and data digitization initiatives to accelerate decision-making and drive continuous improvement.

Key Responsibilities:

• Own statistical process control (SPC) across Hometown operations – build, review, and refine SPC systems to detect variation early, drive root-cause analysis, and guide data-backed corrective and preventative actions
• Apply statistical methods (t-tests, ANOVA, single and multivariate modeling) to analyze process data, identify variation sources, and translate findings into actionable quality improvements
• Lead cross-functional teams in resolving issues using data-driven root cause investigations and CAPA implementation
• Design and enable automation and data digitization initiatives that accelerate decision-making and improve visibility into process variables and emerging issues
• Serve as a key voting member for material disposition decisions, using statistical and process data to identify systemic gaps and implement controls that reduce variation
• Act as the voice of the customer to the site, ensuring quality metrics and process data reflect customer requirements
• Lead and support audits of site processing and quality systems, incorporating statistical evidence of process control
• Contribute to global quality initiatives through Lean, Six Sigma, and other data-driven process optimization projects
• Lead teams in the execution and quality of all EMD materials delivered to major semiconductor customers globally

Location:

Tamaqua Pennsylvania
-working 3 days in office

Travel: up to 5% domestically

Who You Are:

Minimum Qualifications:

• Bachelor's degree in engineering or mathematics or a very similar technical discipline
• 5+ years of experience in chemical manufacturing, process engineering, control engineering, analytical chemistry, or semiconductor fabrication

OR

• Master's degree in engineering or mathematics or a very similar technical discipline
• 3+ years of experience in chemical manufacturing, process engineering, control engineering, analytical chemistry, or semiconductor fabrication

Preferred Qualifications:

• Experience supporting quality initiatives in a semiconductor, chemical production, or similar manufacturing environment, with exposure to process control and statistical monitoring tools
• Hands-on exposure to statistical process control or process data analysis
• Moderate to advanced statistical…