Quality Engineer

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 & Travel

Location: Tamaqua, Pennsylvania — working 3 days in office. Travel: up to 5% domestically.

Minimum Qualifications

• Bachelor's degree in engineering, mathematics, or a very similar technical discipline with 5+ years of experience in chemical manufacturing, process engineering, control engineering, analytical chemistry, or semiconductor fabrication
• OR Master's degree in engineering, mathematics, or a very similar technical discipline with 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 knowledge (SPC, t-test, ANOVA, single and multivariate statistical modeling) — this is a core requirement for the role
• Proficiency with data science/statistical software including JMP, Palantir Foundry, Python, and/or visualization tools
• Demonstrated experience with Lean and/or Six Sigma projects or data-driven process optimization
• Experience with process improvement, data automation, and data digitization
• Experience with quality problem-solving tools (5-Whys, segmentation, Model Based Problem Solving), FMEAs, continuous improvement activities, management of change, and document control systems
• Demonstrated ability to motivate others and collaborate across internal stakeholder groups
• Demonstrated success advancing projects, project teams, and process improvements
• Excellent time management and organizational skills across multiple concurrent projects
• Excellent oral and written communication skills, in English and ideally additional languages
• Ability to work effectively across diverse backgrounds and cultures
• Experience in the electronics industry, preferably semiconductors
• Experience with ISO9001 Quality Management Systems
• Six Sigma Green Belt or Black Belt certification
• SAP experience

Pay

Pay range: $86,200–$129,200 per year. The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses.

Benefits

Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here.