Tesla is accelerating the world's transition to sustainable energy and our Energy business is at the forefront of this effort.
We're seeking an experienced Staff Quality Engineer to oversee the manufacturing of large stationary battery products, ensuring that products and the manufacturing processes meet the highest standards of safety, reliability, and quality.
To ensure the highest standards we are striving for built right first time and zero defect mindset, with a strong emphasis on continuous improvement, to guarantee that every product that leaves our factory meets our exceptional standards.
As a key player in our mission to deliver exceptional energy storage solutions to customers, you will collaborate with multiple engineering groups, manufacturing areas, and product teams to exceed customer expectations and establish world-class quality processes.
Our goal is to create a seamless, efficient, and reliable operations that prioritizes customer satisfaction, safety, and sustainability, while driving business growth and profitability.
* Accountable for the quality of incoming components and quality controls and assurance in production process and driving continues improvement
* Responsible for solving complex technical challenges impacting internal and external customers by leading problem solving process utilizing methodologies such as 8D, Lean Six Sigma and Shainin
* Lead cross-functional teams to safeguard and improve product and components quality including risk assessment, containment actions, conducting in depth root cause analysis, experiments and executing corrective and preventive actions including lessons learned for future products
* Leading cross-functional teams to achieve and improve internal & external customer satisfaction, field reliability, nonconformities, scrap and improving first pass yield and additional relevant objectives and key results
* Leading Advance Product Quality Planning for new programs including development of quality critical product, components and process requirement and characteristics including supplier qualification
* Driving Design & Process Failure Mode Effect Analysis (FMEA) to identify risks and implement appropriate actions to mitigate this risks together with cross-functional teams including proactive and continue improvement of current controls
* Identification and deployment of critical product/subassemblies/components and manufacturing requirements to ensure customer and production needs including supplier development
* Develop, validate, implement and consistently improving effective quality controls across production lines in coordination with Design, Production, Operations, Controls and Maintenance teams
* Participate in program, projects, design change management reviews to ensure product subsystem quality and reliability requirements are met including analysis, trials and validation
* Assist development with dimensional analysis, statistical tolerancing and other methods to investigate the effects of part and process variability on system performance and manufacturability including process capability analyses to investigate and improve the ability of suppliers and production processes to meet defined specifications and quality standards
* Degree in Electrical, Mechanical, Chemical, Materials or Industrial Engineering, or equivalent experience
* Minimum 5 years of experience in manufacturing environment and Quality Engineering function
* Minimum 3 years of experience with electro-mechanical assemblies, battery modules manufacturing preferred
* Quality Engineering expertise including ASQ certification preferred (Certified Quality Engineer, Certified Six Sigma Green/Black Belt/Certified Quality Auditor/Certified Manager of Quality etc.)
* Exceptional problem solving skills and expertise utilizing problem solving methodologies as 8D, Lean Six Sigma and Shainin methodology, relevant certification as plus
* Specific training, fundamental understanding and demonstrated success in applying Automotive Core Tools and other relevant methods and tools (8D, FMEA, Control Plan, SPC, Capacities Study, MSA, APQP, PPAP, DOE, Hypothesis Testing, etc.)
* Strong background and demonstrated success analyzing and interpreting large set of data including data mining, databases and scripting experience eg. MySQL, Python. Minitab, JMP or other statistical software expertise are preferred
* Understanding and familiarity with Quality Management standards as ISO 9001 and IATF 16949
* Bring broad technical expertise and background to work with cross-functional teams, including engineering, manufacturing, service engineering, and suppliers