Process Development Engineer, Cell Mixing
Tesla
About the Role
Tesla is seeking a highly motivated process development engineer to create, develop, and scale up manufacturing processes for our battery cell manufacturing line. This role involves inventing, developing, scaling up, and optimizing battery manufacturing processes within a cross-functional engineering team responsible for the development lifecycle and launch into manufacturing.
Key Responsibilities
- Drive development of new/innovative manufacturing processes from proof of concept through to full-scale production to enable improved battery performance, cost, and meet throughput requirements.
- Characterize existing processes, establish controls for critical parameters, and improve process robustness.
- Execute DoEs to optimize process conditions.
- Characterize materials to understand structure-property relationships driving product performance.
- Conduct analysis/interpretation and presentation of experimental data.
- Drive process commissioning on new mass production lines.
- Establish process controls for SPC and develop process-related OCAPs.
- Participate in PFMEA risk assessments to prioritize process improvement projects and ensure adequate metrology and controls are in place.
- Debug process integration issues to ensure interactions between processes are kept under control.
- Build process documentation to accurately define the process to cross-functional teams (equipment, quality, production, etc.).
Requirements & Tech Stack
- Chemical Engineering, Mechanical Engineering, Materials Engineering, or equivalent experience.
- 1+ years of experience in process development engineering, chemical engineering, or manufacturing engineering.
- Experience with industrial mixing, dry powder handling and conveyance, or industrial chemical processing.
- Experience with battery and/or battery materials manufacturing.
- Demonstrated capabilities in manufacturing process development for new and unique products.
- Strong understanding of engineering fundamentals and ability to apply them towards manufacturing process development.
- Demonstrated experience in data-driven root cause analysis utilizing statistical software such as JMP or similar.