Senior Battery Systems Optimization Specialist
4 days ago
We are seeking a highly skilled Battery Modeling Engineer, Cell to join our Cell team. As a key member of our team, you will be responsible for developing and implementing advanced battery life prediction models and data analysis tools to optimize battery performance across our product lineup.
About the Role
This is an exciting opportunity to leverage your expertise in battery technologies and data analytics to drive innovation and efficiency in the energy sector. You will work closely with cross-functional teams to integrate battery data into broader product development, enhance battery performance, and contribute to improving product design and performance.
Key Responsibilities
* Develop and validate complex battery life models to predict battery life and performance under various operating conditions.
* Analyze large datasets to identify trends, anomalies, and optimization opportunities using Python programming language and data visualization tools.
* Collaborate with cell engineers and ESS engineers to integrate battery data into broader product development and enhance battery performance in ESS products.
* Build and implement algorithms for advanced data analysis to drive business decisions and improve process efficiency.
* Create comprehensive reports, visualizations, and dashboards to communicate findings and recommendations to stakeholders.
Requirements
* Bachelor's or Master's degree in Engineering, Chemistry, Material Science, Data Science, Computer Science, or a related field.
* 5+ years of hands-on experience in battery life modeling and battery data analysis.
* Deep understanding of Lithium-ion and Sodium-ion battery technologies, including their failure mechanisms.
* Proficiency in Python programming language with experience in data manipulation, physical modeling, statistical modeling, and machine learning.
* Experience working with large datasets, performing statistical analysis, and using data visualization tools.
* Strong problem-solving skills and ability to interpret and analyze complex datasets.
Preferred Qualifications
* PhD degree in Engineering, Chemistry, Material Science, Data Science, Computer Science, or a related field.
* Experience in stimulation of battery materials, electrodes, and cells.
* Knowledge of electrochemical models and battery simulation tools.
* Experience in advanced battery data analysis, such as dQ/dV fitting and EIS modeling.
Benefits
This role offers a competitive salary range of $100,000 - $175,000 per year, based on location, experience, and skills. Additionally, we offer unlimited PTO, comprehensive medical, dental, and vision coverage, a strong 401(k) plan, equity opportunities, and a supportive environment that fosters work-life balance and employee growth.
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