Quality Engineering - Machining Co-op

Beschreibung

What are we looking for? 

We are seeking a Quality Engineering / Digital Metrology Co-op to join our Quality team and support production operations. This role is ideal for a student with a background in Computer Science, Mechanical Engineering, Manufacturing Engineering, or a related field who is interested in manufacturing, quality systems, and digital integration.

A key focus of this position will be supporting projects that connect measurement gauges and inspection equipment digitally to Q-DAS, using a variety of software platforms, interfaces, and communication methods. The co-op will also support inspection planning, gauge validation, and general quality improvement activities. 

Co-op Term: January 2027 – April 2027

Essential Responsibilities 

• Support the integration of gauges and measurement devices with Q-DAS using various software tools, interfaces, and digital communication methods.
• Assist with digitizing and improving data collection from inspection equipment across production areas.
• Lead or support projects to verify the appropriate allocation and usage of gauges in operational cells.
• Work with Quality, Manufacturing, and Production teams to improve inspection processes and data flow.
• Perform Gauge Repeatability and Reproducibility (Gauge R&R) studies to assess measurement system variation and ensure inspection reliability.
• Assist in root cause analysis and problem-solving related to quality issues.

Your Profile 

• Currently pursuing a degree in Computer Science, Mechanical Engineering, Manufacturing Engineering, or a related discipline.
• Interest in manufacturing, quality systems, automation, or digital data integration.
• Experience in a manufacturing environment is an asset.
• Familiarity with measurement equipment, gauges, or inspection processes is an asset.
• Proficiency in Microsoft Office applications, especially Excel, Word, and PowerPoint.
• Knowledge of Q-DAS, Oracle, SAP, or other ERP / quality systems is considered an asset.
• Strong problem-solving skills and attention to detail.
• Ability to manage multiple tasks and meet timelines.
• Ability to work both independently and within cross-functional teams. 

Accommodations 

INNIO is an equal opportunity employer committed to inclusive, barrier-free recruitment and selection processes and work environments. We will make reasonable accommodations for the needs of applicants under the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA) throughout all stages of the recruitment and selection process. Please advise the Human Resources Department at [email protected] to ensure your accessibility needs are accommodated throughout this process.

As part of our commitment to innovation and efficiency, INNIO utilizes AI technology to assist in the initial screening of applicants. This helps us more effectively identify qualifications and match candidates to role requirements. Pleases note that all hiring decisions are made with human oversight to ensure fairness, context, and alignment with our core values.