Quality Engineer

About ADASI

Job Purpose

Key Responsibilities

• Develop and maintain the Quality Assurance Plan (QAP) for each new product introduction, outlining quality objectives, inspection criteria, and acceptance criteria in alignment with Design & customer requirements and industry standards.
• Collaborate with engineering and design teams to define Critical to Quality (CTQ) parameters for each component and assembly, ensuring that quality characteristics critical to product performance and customer satisfaction are identified and addressed.
• Lead the development of quality inspection plans for production processes during the introduction of new products, specifying inspection methods, sampling plans, and acceptance criteria to ensure product conformance and reliability.
• Oversee the validation of manufacturing processes for new product introductions, conducting process capability studies and verifying process performance to ensure consistency and compliance with quality requirements.
• Coordinate and oversee First Article Inspection (FAI) activities, ensuring that initial production samples meet all specified requirements and customer expectations before full production begins.
• Generate and maintain documentation related to quality control activities during new product introductions, including inspection reports, non-conformance reports (NCRs), and corrective action plans, to facilitate traceability and compliance with regulatory standards.

Qualification & Experience

• Bachelor's degree in Mechanical Engineering, Aerospace Engineering, or a related field
• Minimum of 5-7 years of progressive experience in quality engineering roles within the aerospace or aeronautical industry, with a focus on product industrialization and new product introductions. Direct experience in quality assurance processes for aeronautical products is essential.
• In-depth knowledge and hands-on experience with Quality Management Systems (QMS), including AS9100, ISO 9001, and regulations.
• Proficiency in quality tools and methodologies such as Six Sigma, Statistical Process Control (SPC), Failure Mode and Effects Analysis (FMEA), Root Cause Analysis (RCA), and Design of Experiments (DOE).
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