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Sr Product Engineer

Job in Morrisville, Wake County, North Carolina, 27560, USA
Listing for: Renesas
Full Time position
Listed on 2026-07-01
Job specializations:
  • Engineering
    Quality Engineering
Job Description & How to Apply Below
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., JESD
47, JESD
22 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 networks across global teams to align characterization strategy,…
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