The Staff Quality Engineer will be responsible for providing on time support to our internal or external customers to develop and sustain the quality of Module manufacturing for Model 3 and Y programs. You will assess risks, engineer the necessary quality controls (including the incoming components) and prevention methods to achieve production targets and ultimately deliver a safe and reliable product to enable Tesla's mission to accelerate the word towards sustainable energy. A successful candidate must be a professional problem solver, data driven, with quality and customer mindset, and have the personal drive and stamina for relentless, continual improvement. * 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 * Identification of critical requirements to assure proper supplier and production focus on critical needs * Leading development of FMEAs (Design & Process) for development teams to identify and address critical risks * Support development of manufacturing equipment, controls and test plans to address risks identified in FMEA * Participate in design reviews to assure product subsystem quality, manufacturability, reliability, etc. * Assist development with statistical tolerancing, Monte Carlo analysis 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 teams in investigation of various alternatives or in design validation testing * 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, etc. * Degree in Electrical, Mechanical, Materials, Industrial Engineering, or equivalent experience * Six Sigma certification is preferred * A minimum of 7+ years of experience * Specific training and demonstrated success in applying design for quality and problem solving methodologies, FMEA, process capability analysis, hypothesis testing, DoE, SPC, etc. * Strong background and demonstrated success applying statistical methods * Minitab, JMP or other statistical software capabilities are preferred * Data mining and database (e.g. MySQL) experience * Excellent oral, written and presentation communication skills