Manufacturing Quality Engineer - Ogden, UT(Onsite)

Manufacturing Quality Engineer

Ogden, UT(Onsite)

Role Overview :

The Onsite Manufacturing Quality Engineer (MQE) will be the primary technical interface supporting the development, validation, and maintenance of Manufacturing & Quality Instructions (MQIs) .

This role bridges engineering, quality, and supplier teams to ensure manufacturing documentation accurately represents the latest design and process standards while supporting daily production and vendor queries.

The MQE will also play a pivotal role in advancing process capability, inspection reliability, and OEE-based performance tracking - contributing directly to the customer's long-term zero-defect and reliability engineering objectives .

Key Responsibilities

• Review, validate, and update MQIs to ensure alignment with current design definitions, EOs / ECRs / ECOs, and process requirements.
• Coordinate with engineering, manufacturing, and quality teams to gather and verify documentation inputs.
• Address and resolve vendor and shop floor queries related to manufacturability, inspection, and process compliance.
• Identify mismatches between 2D drawings and 3D models; drive resolution and documentation updates.
• Conduct and support First Article Inspections (FAI) and process tryouts for gaging and inspection systems.
• Lead gage correlation studies (e.g., CMM vs. manual inspection) and ensure consistent inspection methodologies.
• Maintain structured traceability logs for documentation updates and vendor clarifications.
• Collaborate with offshore authoring and process engineering teams for standardized documentation practices.
• Support customer initiatives in process capability improvement, inspection correlation, and reliability metrics (OEE, escape analysis, etc.) to enhance long-term manufacturing robustness.

Skill-Set Requirements

Exposure to process capability studies (Cp / Cpk) and OEE-based performance analysis .

Ideal Background

Proactive, methodical, and collaborative - able to manage ambiguity and drive clarity in complex documentation environments