Sr Staff Product Engineer Job Description **Applicants for this position must be currently authorized to work in the United States on a full-time basis. Renesas is unable to sponsor applicants for work visas for this position now or in the future.** Hybrid - Morrisville, NC Renesas is a global leader in semiconductor solutions, enabling innovations across industrial, IoT, edge computing, and intelligent power applications. Our teams drive the development of next-generation products, including devices supporting Edge AI capabilities, by collaborating across design, product engineering, and manufacturing to deliver high-quality, scalable solutions worldwide. **Key Responsibilities** **Product Leadership & NPI Execution** + Lead end-to-end product lifecycle execution across multiple programs-from concept definition through characterization, qualification, customer release, and ramp to high-volume manufacturing (HVM). + Define and drive product validation, characterization, and qualification strategies aligned with product requirements, reliability expectations, and customer use cases. + Demonstrate a proven track record of successfully releasing multiple IC products into production and sustaining performance through volume ramp. **Data Analysis, Characterization & Yield Strategy** + Apply advanced statistical analysis and data science techniques to characterize device electrical performance and parametric behavior. + Develop robust methodologies for analyzing distributions, corner performance, and guard band optimization. + Lead deep-dive investigations of yield excursions, parametric shifts, and failure mechanisms using structured statistical approaches and large-scale data analysis. + Identify correlations across design, silicon, and test datasets to uncover root causes and improve product robustness. + Establish scalable analytics frameworks, dashboards, and visualization tools to enable data-driven decision making across product lifecycle phases. **Qualification, Reliability, ESD & Latch-Up Expertise** + Define and execute comprehensive product qualification strategies aligned to JEDEC and industry standards (e.g., JESD47, JESD22 series). + Drive reliability stress planning and interpretation, including HTOL, HAST/uHAST, TC, ELFR, and associated qualification methodologies. + Lead ESD and latch-up qualification strategy, data analysis, and failure resolution in alignment with product requirements. + Analyze reliability data to assess failure mechanisms, lifetime projections, and margin to specification limits. + Ensure qualification coverage, sample sizes, and stress conditions support defensible product release decisions. + Partner with reliability and quality teams to resolve qualification risks and define mitigation strategies. **Failure Analysis & Root Cause Investigation** + Lead complex failure analysis activities across electrical, parametric, ESD, latch-up, and reliability-related failures. + Utilize data-driven approaches to correlate failure signatures with design, process, or test-related mechanisms. + Drive cross-functional root cause investigations and ensure corrective actions are implemented and verified. + Develop systematic approaches to failure classification, screening effectiveness, and defect pareto analysis. **AI-Driven Engineering Efficiency** + Identify and drive opportunities to improve engineering efficiency through application of AI, machine learning, and advanced analytics in areas such as: + Characterization data reduction and automation + Anomaly detection and outlier classification + Predictive yield and reliability modeling + Develop or leverage intelligent workflows to accelerate insight generation and reduce manual analysis effort. + Promote adoption of data-centric and AI-assisted methodologies to improve engineering productivity and decision quality. **Technical Leadership & Cross-Functional Influence** + Serve as a recognized subject matter expert in product engineering, statistical analysis, reliability, and failure analysis. + Lead cross-functional efforts across design, applications, reliability, and test teams to resolve highly complex technical challenges. + Provide leadership in defining characterization plans, qualification strategies, and analysis methodologies. + Mentor engineers in advanced statistical techniques, reliability interpretation, and structured problem solving. **Strategic Problem Solving & Innovation** + Work on complex, ambiguous problems requiring evaluation of incomplete or conflicting data, applying conceptual and statistical thinking to determine optimal solutions. + Anticipate technical risks in product performance, qualification adequacy, and reliability margins, and proactively drive improvements. + Contribute to development of best practices in qualification methodology, data analysis, and engineering decision frameworks. **Stakeholder Engagement & Organizational Impact** + Build and lead netwo