Accountable for the quality ofincoming components, quality controls and assurance in production process, rootcause analysis and resolution of problems impacting internal and externalcustomers, continuous improvement and risk mitigation
Drive cross functional teams toachieve targets for field reliability, scrap and first pass yield
Development of manufacturingrequirements, quality standards and product quality plans to assure productswill meet expectations of our target customers
Deployment of manufacturinglevel requirements to subsystems, assemblies & components to assureclear focus on design and customer needs
Identification of criticalrequirements to assure proper supplier and production focus on critical needs
Leading development of FMEAs(Design & Process) for development teams to identify and address criticalrisks
Assist development with dimensionalanalysis, statistical tolerancing and other methods to investigate the effectsof part and process variability on system performance
Support process capability analysesto investigate the ability of suppliers and production processes to meetdefined specifications and quality standards
Design effective experimentsthrough DOE or other methods to support design and process teams ininvestigation of various alternatives to resolve quality issues
Manage and facilitate the rootcause & corrective actions system through tracking and validation of issuesand support in root cause analysis through facilitating brainstorming, use oflean methodologies, hypothesis testing, design of experiments, DMAIC, 8D,etc
What You’ll Bring
Degree in Electrical,Mechanical, Materials or Industrial Engineering, or evidence of exceptionalexperience in related fields
Six Sigmaor ASQ certification are preferred
Minimum 2 years of experience inquality engineering
Minimum 1 year of experience withelectro-mechanical assemblies
Specific training and demonstratedsuccess in applying design for quality, problem-solving methodologies, FMEA,process capability analysis, hypothesis testing, DoE and SPC
Strong background and demonstratedsuccess applying statistical methods
Minitab, JMP or other statisticalsoftware capabilities are preferred
Data mining, databases, scripting,and data visualization experience (e.g. MySQL, Python, Tableau, PowerBI, etc.)