Battery Modeling & Simulation Engineer: Predictive Performance

Exoben Inc.

United States

On-site

USD 90,000 - 150,000

Full time

14 days+

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Job summary

Exoben Inc. seeks a Battery Modeling & Simulation Engineer to advance development of its battery systems. You will build models that simulate behavior under varied conditions and use data to predict performance, efficiency and lifecycle. Collaboration with design and testing teams will sharpen system performance.

The role emphasizes strong analytical thinking, clear communication, and hands-on use of modeling tools to drive design improvements and reduce risk across programs.

Qualifications

  • Bachelor’s degree in Engineering, Physics or related field; Master’s or PhD preferred.
  • Strong experience in modeling and simulation of battery systems.
  • Analytical mindset with attention to detail and data-driven approach.
  • Ability to communicate findings clearly across teams.

Responsibilities

  • Develop models for battery performance and behavior.
  • Simulate charging, discharging and thermal behavior.
  • Predict system performance under different conditions.
  • Support optimization of battery design through simulation.
  • Validate models using real-world data.
  • Collaborate with engineering teams to improve system performance.
  • Identify risks and performance limitations early.
  • Support data-driven decision making.

Skills

Battery modeling
Simulation
Data analysis
Communication

Education

Bachelor's degree in Engineering or Physics
Master’s degree preferred
PhD preferred

Tools

MATLAB/Simulink
Python

Job description

Exoben Inc. seeks a Battery Modeling & Simulation Engineer to advance development of its battery systems. You will build models that simulate behavior under varied conditions and use data to predict performance, efficiency and lifecycle. Collaboration with design and testing teams will sharpen system performance.

The role emphasizes strong analytical thinking, clear communication, and hands-on use of modeling tools to drive design improvements and reduce risk across programs.

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