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Salary
≈ $36k – $81k per year (Estimated)
Location
In office (Shanghai)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Jan 16, 2023. SES AI scores D on the Alion truth index.

Overview
Company
Impact
Profile match
SES AI is an American developer and manufacturer of high-performance lithium-metal and AI-enhanced battery technology headquartered in Woburn, Massachusetts, with strategic pilot manufacturing and R&D facilities in Shanghai and Seoul. Originally founded in 2012 out of MIT as SolidEnergy Systems by CEO Dr. Qichao Hu, the company operates on a B2B technology licensing, joint-development agreement (JDA), and enterprise OEM battery manufacturing commercial model.

Senior Battery Cell Modeling Scientist - Simulation

Responsibilities

  • Responsible for building cell mathematical simulation models (physical models and data-driven models) to predict the performance of Li-ion batteries/Li-metal batteries under various working conditions, including dynamic performance, lifetime decay, electrochemical and thermal response, and safety-related cell behavior

  • Design and advance experiments to obtain parameters/data required to build cell models

  • Work with cross-functional teams to develop, deploy, test, and maintain models

  • The electrochemical/thermal data of the cell under different working conditions are generated by using the certified physical model of the cell to provide data support for the establishment of the data-driven model

  • Establish a standardized process for cell physical modeling to reduce the resources/time required for modeling

  • Provide documentation related to model and algorithm development
  • Work with the battery team to determine and achieve battery performance life goals

Qualifications

  • Master’s degree or above, more than 5 years of battery related research/work experience

  • Basic knowledge of cell electrochemistry (P2D), thermal, mechanical modeling and simulation. Familiar with electrochemical principle, simulation parameter measurement method and corresponding equipment

  • Familiar with various battery-related models/algorithms, and have experience in using cell model software (COMSOL, Ansys, PyBaMM, etc.)

  • Experience in building data-driven models (statistical analysis, machine learning, AI)

  • Proficient in code development tools, such as Python or Matlab

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