Quality Engineer - Energy Remanufacturing

Job Description

Job Responsibilities

• 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.

Job Requirements

• Degree 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)
• Excellent oral and written communication skills