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Battery Modelling Engineer

Coulomb AI· Engineering
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BengaluruFull-timePosted 11mo ago

About the role

Battery Modelling Engineer role at Coulomb AI, a climate tech startup focused on battery analytics and predictive modeling for electric vehicles. Early-stage founding team seeking applicants with strong electrochemical modeling background to develop and validate battery models, simulate performance and aging, and contribute to IP and publications.

Responsibilities

  • Develop and validate electrochemical models for battery cells and packs
  • Simulate battery performance, aging, and thermal behavior using advanced modeling techniques
  • Collaborate with experimental teams to design and interpret experiments that validate model predictions
  • Analyze results from simulations and experiments to identify key performance parameters and degradation mechanisms
  • Prepare technical reports, presentations, and publications to communicate findings to internal teams and external stakeholders
  • Contribute to patent filings and support intellectual property development

Qualifications

  • Proven 3+ years of experience in developing models for lithium-ion, solid-state, or next-generation batteries
  • Master’s degree in Chemical Engineering, Materials Science, Electrochemistry, Physics, or a related field
  • Extensive experience with electrochemical modeling and simulation tools (e.g., COMSOL, MATLAB, Python)
  • Track record of publications and presentations in relevant scientific conferences and journals

Skills

Required:Electrochemical modelingModeling and simulation toolsElectrochemistry
Nice to have:Materials science
Last updated Aug 5, 2026. Interested? Apply on the company site.
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About Coulomb AI

Battery Observability Platform for Electric Vehicles

At Coulomb AI, we envision a future powered by the seamless integration of AI and battery technologies, creating a powerful synergy to combat climate change. We build category-leading software that can significantly improve battery lifespan and performance by employing advanced predictive analytics, real-time monitoring, and adaptive battery management algorithms.

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