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Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 7, 2026.

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Coulomb AI is a technology company that builds battery analytics software for electric vehicles and energy storage systems. Its platform applies machine learning to battery data to track battery health, predict degradation and improve performance and lifetime. The company lists its headquarters in San Francisco, California, United States, and its engineering team, including battery modelling engineers, data scientists and software developers, works in Bengaluru, India.
Backed by Y Combinator

Do you want to join a fast-growing climate tech startup with real impact?

About Coulomb

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.

Coulomb is headquartered in San Francisco with its development and research center in Bangalore. Founders Khushboo Shrivastava and Santanu Mondal are alumni of IIT Bombay and have first-hand experience working on first-generation Electric Vehicles at General Motors. We are backed by some of the best climate tech investors in the world, including Y Combinator, Harvard Management Seed Capital, CSVE Ventures, and prominent Silicon Valley-based Angels.

We already have a global presence with customers in 5 countries across UK, US, APAC and India

Yet, we’re still at the start of our journey, and we want exceptional people to join us!

Key Responsibilities:

  • Develop, implement, and refine battery models using PyBaMM and COMSOL to simulate performance under various conditions.
  • Focus on degradation mechanisms such as Solid Electrolyte Interphase (SEI) formation, lithium plating, and thermal behavior.
  • Analyze model outputs and validate against experimental data to improve model accuracy.
  • Assist in optimizing battery parameters for enhanced performance, efficiency, and lifecycle.
  • Document modeling procedures and results, and present findings to the engineering team.
  • Collaborate with team members to support ongoing research and development projects

Requirements:

  • Currently pursuing or recently completed a degree in Engineering, Physics, Materials Science, or a related field.
  • Basic understanding of battery electrochemistry and degradation mechanisms.
  • Proficiency in Python, with experience using PyBaMM or similar battery modeling libraries.
  • Familiarity with COMSOL Multiphysics, particularly modules relevant to electrochemistry and thermal analysis.
  • Strong analytical skills and attention to detail in data analysis and model validation.
  • Ability to work independently and collaborate effectively within a team.

Preferred Skills:

  • Prior experience with battery modeling, particularly for lithium-ion batteries.
  • Knowledge of thermal management, capacity fade, and energy efficiency optimization.
  • Coursework or experience in numerical methods, finite element analysis, or multiphysics simulations.

What We Offer:

  • Hands-on experience working on live projects with cross-functional teams.
  • Mentorship from experienced product designers and other team members.
  • Exposure to the full product lifecycle from ideation to launch.
  • A collaborative and creative work environment that encourages growth.
  • Opportunity to build your portfolio with real-world projects.
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