Tesla is looking for a highly motivated Quality Engineer to support incoming quality inspection, root cause analysis, critical Li-ion cell component analysis, and data analysis in both manufacturing and lab environments for our cutting-edge Tesla Cell Manufacturing Line.
The Battery is one of the most complex and challenging components designed and manufactured at Tesla. This is an exciting opportunity to contribute to Tesla’s world class manufacturing facilities. Tesla is a demanding and fast-paced environment where you will work on a critical subsystem of an incredibly exciting product.
The Quality Engineer will lead mass production cell projects that impact cell quality, Tesla manufacturability, safety, cost, and field reliability while working in a cross-functional team throughout the entire product lifecycle and launch into manufacturing. You will guide design decisions, contribute to specification requirements, and collaborate on cell material and process development projects. You will work closely with Design Engineering, Process, Equipment and Production teams to take battery design changes and new battery designs from initial concept through prototype development and into full production.
The ideal candidate takes pride in his/her hands-on work, analytical ability, organizational skills and attention to detail. He/She appreciates an environment where superior work is encouraged, noticed and rewarded and where individuals carry tremendous responsibility. He/She looks forward to learning an incredible amount on the job, and stepping up to lead whenever required.
Work collaboratively with Product Design, Equipment Engineering, Manufacturing Engineering, EPC, Safety, Production, Maintenance and other cross functional teams as the cell quality expert to ensure production lines are designed and operated to produce high quality, high performance cells.
Define and establish incoming quality control tasks to ensure manufacturing capability and product reliability
Manage non-conforming cell process flows and evaluate suspect materials while working closely with internal and external teams to quickly identify and resolve any cell-related issues
Lead the identification, root cause analysis, and resolution of cell related manufacturing quality issues
Define containment and disposition criteria based on quality requirements
Plan and participate in audits of Tesla and supplier manufacturing lines to ensure all processes follow the plan of record
Drive cross functional projects with manufacturing, supply chain, production quality, and research teams to test existing and determine new product specifications and tolerances
Collaborate with suppliers to initiate and implement Process Change Requests (PCRs) to improve manufacturability and field performance
Seek out and initiate continuous improvement projects within Tesla manufacturing and at suppliers
Lead FMEA activities to ensure design and manufacturing issues are identified and risks mitigated
Provide Design for Manufacturability (DFM) feedback to engineering as well as participate in DFM reviews
Produce cogent and intelligible data visualizations
Author presentations and summarize high-impact technical findings
Develop custom test methods to solve critical cell engineering issues
Anticipate potential problems and take preventative action
Proven innovative thinker
Strong understanding of engineering fundamentals and ability to apply them towards manufacturing quality
Experience transitioning products from prototype to production
Experience introducing new equipment and new processes into a production environment
Project management experience
Excellent communication skills, both verbal and written. Experience creating various reports and database tools for management
Ability to use technological tools and business system applications to manage, synthesize, and interpret data
Experience working with domestic/international vendors on technical projects
Structured problems solving methodologies (DMAIC, 8D, etc.)
Experience in automotive or high-volume manufacturing is highly desired
Programming (SQL, Python, MATLAB, R, etc.)
Familiarity with lab material characterization techniques
Data analysis and visualization software (Tableau, JMP, Minitab, etc.)
Design software (Adobe Creative Suite, CATIA. SolidWorks)