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Avery Dennison · Painesville, OH

# QA Optimization Engineer

Painesville, OH, United States Full-time Operations 

Listed on Avery Dennison’s official careers site. Posted October 19, 2026. Check that it is still open and apply there.
[Apply on Avery Dennison’s careers site →](https://jobs.smartrecruiters.com/AveryDennison/744000156393327-qa-optimization-engineer)

[OpenNash Jobs](https://jobs.opennash.com/) / [Avery Dennison](https://jobs.opennash.com/companies/avery-dennison/) / QA Optimization Engineer

## Job description

The Quality Optimization Engineer is responsible for identifying, analyzing, and eliminating manufacturing yield loss while ensuring operational capabilities align precisely with product specifications. Operating with a high degree of autonomy, this individual acts as a critical liaison between Operations, Quality, R&D, and Engineering to clarify quality standards and reduce operational ambiguity. The ideal candidate possesses exceptional critical thinking skills, a strong analytical mindset, and a proactive approach to cross-functional leadership.

They leverage foundational engineering principles alongside modern technologies—including AI-driven data tools and predictive analytics—to drive sustainable yield improvements and optimize manufacturing processes.

### Primary Responsibilities

Yield & Loss Optimization: Lead investigative efforts to identify drivers of manufacturing loss, scrap, and downtime; design and execute corrective strategies to improve overall equipment effectiveness (OEE).

### Autonomous Problem Solving

Drive root-cause investigations from end-to-end utilizing formal methodologies (e.g., 8D, DMAIC, 5-Why, Fishbone Analysis) with minimal supervisory oversight.

### Standard Clarification & Operational Alignment

Partner directly with Operations leadership to clarify quality standards, establish unambiguous visual/measurable criteria, and ensure floor-level understanding to prevent operational losses.

### Specification & Capability Alignment

Assist in drafting, refining, and reviewing product specifications; evaluate current manufacturing process capabilities (Cpk/Ppk) to ensure new and existing specs are technically achievable on the production line.

### Cross-Functional Collaboration

Partner seamlessly across Production, Engineering, Maintenance, and R&D to implement sustainable process controls without relying on top-down authority.

### Leverage Advanced & AI Tooling

Integrate artificial intelligence tools, machine learning applications, and modern data platforms to enhance data synthesis, predictive modeling, and root-cause discovery.

### Process Standardization

Translate problem-solving outcomes and specification updates into standard operating procedures (SOPs), control plans, and training materials to safeguard against defect recurrence.

### Metrics & Reporting

Generate and present quantitative performance metrics, capability studies, and project updates to plant and operations management.

### Quality Testing & Validation

Conduct targeted age testing on key product lines to validate long-term performance and reliability, integrating findings directly into problem-solving efforts and quality investigations.

## Qualifications

### Analytical Mindset

Exceptional critical thinking skills with a demonstrated ability to evaluate complex system inputs, isolate variables, and synthesize actionable solutions.

### Self-Direction

Proven ability to manage multiple priorities independently, establish project scope, and drive alignment across multi-disciplinary teams.

### Operational Integration

Ability to bridge technical specifications with practical manufacturing realities, translating engineering tolerances into actionable operational standards.

### Technological Capability

Proficiency in leveraging AI productivity and analytics tools (e.g., predictive analytics models, LLM-assisted data processing) alongside traditional statistical analysis software (Minitab).

### Communication

Superior verbal and written communication skills, capable of translating technical analysis into clear, strategic recommendations for internal stakeholders.

### Education & Experience

Requirements Education: Bachelor's degree in Engineering Experience: 1+ years of engineering experience within a manufacturing environment.

### Preferred Experience

Exposure to process capability analysis (SPC/Cpk), spec-setting workflows, Lean Six Sigma concepts, or formal Root Cause Analysis (RCA).

## At a glance
- Posted by the employer: Oct 19, 2026
- First seen by OpenNash: Oct 25, 2026
- Last checked: Nov 8, 2026
- Listed for: 20 days
- Location: Painesville, OH, United States
- Employment type: Full-time[Apply on Avery Dennison’s careers site →](https://jobs.smartrecruiters.com/AveryDennison/744000156393327-qa-optimization-engineer)

## Hiring at Avery Dennison
- Open jobs: 476
- New in the last 7 days: After two weekly collections
- Tracked since: Jul 12, 2026

[All Avery Dennison jobs](https://jobs.opennash.com/companies/avery-dennison/) · [Weekly hiring report](/reports/hiring/)

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