Accountable for the quality of incoming components, quality controls and assurance in production process, root cause analysis and resolution of problems impacting internal and external customers, continuous improvement and risk mitigation
Drive cross functional teams to achieve targets for field reliability, scrap and first pass yield
Development of manufacturing requirements, quality standards and product quality plans to assure products will meet expectations of our target customers
Deployment of manufacturing level requirements to subsystems, assemblies & components to assure clear focus on design and customer needs
Leading development of FMEAs (Design & Process) for development teams to identify and address critical risks
Participate in design reviews to assure product subsystem quality, manufacturability, reliability, etc.
Assist development with dimensional analysis, statistical tolerancing and other methods to investigate the effects of part and process variability on system performance
Support process capability analyses to investigate the ability of suppliers and production processes to meet defined specifications and quality standards
Design effective experiments through DOE or other methods to support design and process teams in investigation of various alternatives to resolve quality issues
Manage and facilitate the root cause & corrective actions system through tracking and validation of issues and support in root cause analysis through facilitating brainstorming, use of lean methodologies, hypothesis testing, design of experiments, DMAIC, 8D, etc.
What You’ll Bring
Degree of Science in Electrical, Mechanical, Chemical, Materials or Industrial Engineering, or equivalent experience
Six Sigma or ASQ certification is preferred
Minimum 2 years of experience in Quality Engineering
Minimum 1 year of experience with Electro-Mechanical Assemblies, Chemical Processes or Battery Cell Manufacturing preferred
Specific training and demonstrated success in applying design for quality, problem-solving methodologies, FMEA, process capability analysis, hypothesis testing, DoE and SPC
Strong background and demonstrated success applying statistical methods
Minitab, JMP or other statistical software capabilities are preferred
Data mining, databases and scripting experience (e.g. MySQL, Python)