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 www.averydennison.com.

Job Description

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 

Qualifications

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

Additional Information

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.

Reasonable Accommodations Notice

If you require accommodations to view or apply for a job, alternative methods are available to submit an application. Please contact (440) 534-6000 or [email protected] to discuss reasonable accommodations.