Customer Quality Control Engineer

Renesas Electronics•San Jose, CA

About The Position

Renesas is seeking a customer-facing quality and reliability professional to serve as the primary interface between Renesas and key AI datacenter customers for AI High Density Power (HDP) Modules. The role brings together customer quality management, product reliability engineering, and supplier quality. It supports new product ramps, resolves field quality issues, and ensures product assurance throughout the product lifecycle. The engineer works directly with AI hyperscaler and datacenter customers and coordinates with internal design, reliability, and supplier quality teams. The position reports to the Product Assurance Director and partners closely with the Quality & Reliability Design Engineer and Supplier Quality Engineer. Responsibilities include coordinating customer qualifications, managing quality escalations and corrective actions, communicating performance data, and driving design-for-quality and continuous-improvement initiatives.

Requirements

Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field.
7–12+ years of experience in the semiconductor or power electronics industry, including direct customer-facing quality or applications engineering experience.
Demonstrated ability to manage customer relationships in a quality or technical role, lead qualification activities, handle escalations, and present technical data to customer engineering and procurement teams.
Hands-on experience qualifying power modules, power semiconductors, or PCB assemblies.
Proficiency with 8D, Root Cause Analysis, Six Sigma, or equivalent issue-containment and corrective-action methodologies.
Familiarity with Design for Reliability (DfR), qualification test methods such as HTOL, PCT, and TC, and reliability data interpretation.
Working knowledge of PCB assembly processes, including surface mount technology (SMT), component selection, and manufacturing quality controls.
Experience with FMEAs, Cpk/SPC, CAPA processes, and supplier or process audits.
Ability to analyze and communicate quality metrics, including defect rates, yield trends, and return data, to technical and executive audiences.
Excellent written and verbal communication skills and demonstrated ability to lead cross-functional teams and influence without direct authority.

Nice To Haves

Experience supporting AI hyperscaler or cloud datacenter customer qualifications for power delivery products.
Familiarity with automotive or commercial quality standards such as AEC-Q100, AEC-Q200, ISO 9001, and IATF 16949, and their application to high-reliability electronics.
Knowledge of failure-analysis techniques such as SEM/EDX, cross-sectioning, and thermal imaging.
Experience with statistical process control (SPC) and data-analysis tools.

Responsibilities

Serve as the primary quality liaison to AI datacenter and hyperscaler customers and build relationships with their QA and qualification teams.
Lead customer qualification activities for new AI power module products, ensuring readiness against customer requirements, timelines, and acceptance criteria.
Communicate with customers throughout product development and qualification, manage expectations, and resolve issues.
Translate customer quality requirements and feedback into actionable inputs for internal design, reliability, and supplier quality teams.
Own customer quality escalations and coordinate cross-functional issue containment, root cause analysis, and corrective action using methods such as 8D and Six Sigma.
Manage field returns and customer complaints, analyze return data for trends and root causes, and identify corrective action opportunities.
Drive closure of corrective and preventive actions (CAPA), verifying solutions before communicating resolution to customers.
Report quality performance to internal stakeholders and customers, including defect trends, return analysis, and improvement roadmaps.
Align customer qualification requirements with internal reliability and qualification test programs in partnership with the Quality & Reliability Design Engineer.
Use reliability data, qualification reports, and Design for Reliability (DfR) outputs to provide customers with evidence of product performance and longevity.
Collaborate on field-failure investigations using reliability test data, failure-analysis results, and design knowledge.
Support customer-facing quality documentation, including qualification summary reports, reliability data packages, and ATE data summaries.
Work with Supplier Quality Engineering to trace customer-identified component and PCBA quality issues to the supply chain and address them at the source.
Coordinate with supplier quality on incoming-material data, FMEA reviews, and corrective actions for supplier-related issues.
Ensure customer-facing quality commitments are supported by supplier quality controls and documentation.
Champion design-for-quality principles and integrate customer quality requirements into design, process, and test decisions early in product development.
Drive continuous-improvement initiatives to reduce defects, improve manufacturing yield, and enhance product consistency.
Support development and review of FMEAs, control plans, and process qualification documentation to identify and mitigate quality risks.