Create and improve battery models for aging and performance
Run sensitivity analyses to understand the design space and tradeoffs
Assess cell manufacturing roadmaps from suppliers and future cells for improved performance and cost
Correlate models and improve them with on-road battery usage data
Lead and contribute to design reviews, test plans, and requirements reviews to optimize cell efficiency and performance
Enable effective communications with subsystems and other engineering teams to deliver optimal design solutions
Support presentations of concepts and status to senior management and internally as an integration and subject matter expert
Requirements
Masters in Chemical Engineering, Physics, or a related field
5+ years of experience of developing cell electrochemical, physics-based models or aging models and an understanding of how that relates to vehicle performance
High proficiency in any of COMSOL/Python/Matlab/Simulink
Experience with LFP and NMC chemistries
PhD Chemical Engineering, Physics, or a related field (preferred)
Experience with multiple cell chemistries including LMFP, Si anodes (preferred)
Experience with Microsoft Office, Confluence, and Jira applications (preferred)
Experience with analysing cell/battery test data (preferred)
Strong written and verbal communication skills (preferred)
An eagerness to work cross-functionally in a dynamic environment (preferred)
A system approach to design and development with the desire and curiosity to strive for exceptional delivery execution and continuous improvement (preferred)