Sr. QA Engineer (Mexicali)

The Quality Engineer is responsible for providing investigation and root cause analysis of product failures. Works closely with various Engineering functions (Reliability, Design, Manufacturing, etc) in a closed-loop, corrective-action process to improve product quality and reliability performance.

Responsibilities

• Coordinate strategies with cross‑functional groups to meet customer requirements in all quality areas that also serve AE’s business needs.
• Conduct failure analysis, root cause analysis, and corrective/preventive action for internal and external customer complaints.
• Define, design, develop, and implement SPC tools for assembly tools, manufacturing, and test fixtures.
• Establish, implement, and maintain the quality management system.
• Interact with Engineering and Operations to ensure appropriate transfer of new products, including PPAP.
• Plan, organize, and manage activities of receiving and outgoing quality functions.
• Participate in design reviews to ensure compliance with reliability standards and customer requirements.
• Review Engineering Change Requests for customer approval requirements and submission.
• Perform weekly and monthly trend analysis and coordinate corrective actions with involved areas.
• Define SPC for manufacturing processes, monitor weekly and monthly performance, and implement countermeasures.
• Interact constantly with Manufacturing Engineering, Operations, Materials, and Support Areas to ensure robust processes using PPAP, SPC, and LEAN tools.

Experience & Qualifications

• Experience in the Electronics industry (preferred).
• Experience in the Automotive industry and/or Production Part Approval Process (PPAP).
• Bachelor’s degree in Manufacturing, Electronic Engineering, or related field.
• Six Sigma certification (preferred).
• 3+ years of experience in manufacturing (preferred).
• 3+ years of experience in quality system maintenance.
• English proficiency at 85% or higher.
• Experience with LEAN manufacturing tools.
• Excellent computer skills, including statistical software and Microsoft Office (Excel).