Quality Engineering Director at RenesasElectronics

Renesas Electronics America, Inc. is looking for a Senior Customer Quality Engineering Manager to lead strategic quality team supporting key customers. This role serves as the primary quality interface between our organization and global key accounts, ensuring flawless execution, rapid issue resolution, and continuous quality improvement across advanced semiconductor technologies. The Senior Customer Quality Manager will manage and develop a team of Customer Quality Engineers (CQEs) while operating at both technical and executive levels, driving customer confidence, protecting revenue, and strengthening long-term relationships. Responsibilities: Customer Quality Leadership • Act as the senior quality focal point for top-tier global customers, managing all quality-related engagements and escalations • Own customer quality performance metrics (PPM, RMA, SCARs, audits, and scorecards) and ensure commitments are consistently met or exceeded • Lead executive-level customer reviews, quality summits, and strategic business reviews  Team Leadership & Development • Manage, mentor, and develop a team of Worldwide Customer Quality Engineers, setting clear objectives and performance expectations • Allocate resources and prioritize workload across customers, products, and escalations • Establish best practices for customer engagement, issue resolution, and communication consistency across the CQE team • Serve as a senior escalation point for complex or high-impact customer quality issues  Issue Resolution & Risk Management • Drive end-to-end resolution of complex customer quality issues, from containment through root cause and permanent corrective action • Lead cross-functional teams (fab, assembly/test, R&D, product engineering, supply chain, etc.) using structured problem-solving methodologies  Strategic Improvement & Influence • Partner with internal leadership to influence design-for-quality, process robustness, and reliability strategies • Use customer feedback and field data to drive continuous improvement and reduce cost of poor quality