Battery AI/ML Engineer
Responsibilities
Build a data-driven model of battery based on electrochemical knowledge and test data
Develop battery state estimation algorithms, including but not limited to SOC, SOH, SOP
Develop battery behavior prediction methods, including but not limited to residual life prediction and battery safety prediction
Provide novel battery management system solutions to optimize battery performance, including but not limited to charging process optimization, discharge capacity optimization and cycle life optimization
Work with a team to develop, deploy, test and maintain battery algorithms
Qualifications
More than one year battery related working experience, understand battery data
Have a certain understanding of the traditional battery management system (BMS) algorithm model
Practical experience in AI and big data battery algorithm
Experience in battery physical model building (P2D model) and digital twin development is preferred
SES AI Corp. (NYSE: SES) is powering the future of global electric transportation on land and in the air with the world’s most advanced Li-Metal batteries. SES AI is the first battery company in the world to accelerate its pace of innovation by utilizing superintelligent AI across the spectrum of its business, from research and development; materials sourcing; cell design; engineering and manufacturing; to battery health and safety monitoring. Founded in 2012, SES AI is an Li-Metal battery developer and manufacturer headquartered in Boston and with operations in Singapore, Shanghai, and Seoul. Learn more at SES.AI.
🌐 http://ses.ai
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