Contribute to advanced battery algorithms by optimizing performance and deploying innovative solutions while collaborating in a specialized team focused on cutting-edge battery technology.
Senior Battery AI/ML Engineer
Responsibilities
Build a data-driven model of battery based on electrochemical knowledge and test data
Develop battery BMS related algorithms, including but not limited to battery state estimation and battery behavior estimation
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
Cooperate with the team to design the battery pack according to the model requirements, including the number of sensors and deployment location, etc
Responsible for the overall framework design of battery algorithm deployment
Qualifications
Master degree or above, machine learning, AI, and big data related education background
More than five years of battery related work experience, familiar with battery pack design and data
Familiar with various battery related models/algorithms
Experience in battery management system (BMS) algorithm development
Practical experience based on AI, big data battery algorithm, and cloud BMS
SES builds innovative solutions in material discovery and advanced battery management, focusing on accelerating the global energy transition. Our primary customers range from energy companies to tech enterprises looking to enhance their battery technology with machine learning. What sets us apart is our commitment to integrating AI into battery R&D, streamlining the development process and improving efficiency.
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