Quality Systems Engineer

Job Description

Job Description

Company Description

Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers. We design and develop labeling and functional materials, radio frequency identification (RFID) inlays and tags, software applications that connect the physical and digital, and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2024 were $8.8 billion. Learn more at

Avery Dennison is seeking a Graphics Divisional Quality Systems Engineer based at our Fairport Harbor location that is a highly motivated individual contributor with a drive to learn and develop a system that will detect and contain known quality defects. In this role, responsibilities will include managing and implementing the Graphics vision systems and improving processes and measurement systems to align with the expectations of the OEM market. The successful candidate will work independently with minimal direction to navigate the system software, create recipes connecting the system to material, and develop solutions by utilizing systems and process improvement.

Travel Estimated 10%

Activities may include, but are not limited to:

• Technical and Operational support of the vision systems currently installed on Graphics production assets

• Development of new recipes, classification libraries and processes/ techniques that support our vision systems

• Improving inspection capabilities, features, and processes for existing recipes

• Collaborating cross-functionally with Engineering, Controls, and IT to support vision system integration with various systems and databases across the site

• Educating and driving commitment within the operations team to ensure full utilization of the vision systems.

• Creating work instructions as required to enable proper training

• Communicating system progress, capabilities and insights to the leadership and support teams, supporting problem solving efforts with inspection data analytics.

• Scoping and leading CapEx projects to expand vision system capabilities on additional assets across Graphics

• Developing and supporting custom tools and applications, leveraging inspection data to solve problems or simplify processes

• Leading external discussions with the OEM to troubleshoot, improve or maintain the vision system

• Reading and interpreting OEM manuals to create logic required for defect detection and recipe development

• Primary owner of all maintenance and calibration required for vision systems

• Aid in the implementation of Automotive Core Tools such as FMEA, SPC, MSA, and Process Capability by evaluating current processes and equipment

• Lead ongoing improvement initiatives to meet OEM specified quality standards and customer requirements and developing capabilities to measure with the vision systems

• Ability to flex schedule to to support a 24-7 operations schedule as required for escalations or training

• Perform other tasks or project work as assigned

Essential:

• Bachelor’s Degree in Technical field such as Electrical Engineering, Mechanical Engineering, Chemical Engineering or equivalent from an accredited university

• 2 years manufacturing experience

• Demonstrated trouble-shooting and critical thinking skills

• Achieves goals with minimal direction and actively seeks knowledge with a keen attention to detail

• Proven capacity to quickly comprehend information from written manuals or complex instruction sets and translate it into effective real-world solutions

• Demonstrated decision-making and problem-solving experience

• Must be able to actively contribute in a team based environment

• Must have schedule flexibility for occasionally staying over or coming in early

• Basic understanding of Python functions, libraries, & syntax

• Basic understanding of SQL & database structures

• Basic understanding of Statistics and various statistical tools

• Proficient in Google Suite

• Self-directed, self-starter

Preferred:

• Proficient with data analysis libraries in Python (i.e. pandas, Numpy, Matplotlib, etc,)

• Experience with PostgreSQL

• Familiarity with Dr. Schenk’s i4.viz & i4.phc applications

• Familiarity with Dr. Schenk’s database structures

• Familiarity with Industry 4.0 concepts and middleware

• Prior experience with recipe development for vision systems

• Prior experience applying statistics to draw conclusions from large datasets

• Operations experience within Avery Dennison

The salary range for this position is $68k- $90k/ year.

The base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate’s relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or other protected status. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines.

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