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Battery Modeling Engineer



Sunnyvale, CA, USA
Posted on Wednesday, March 27, 2024

Chemix is seeking a highly-motivated battery modeling engineer to develop and expand our AI platform for battery materials discovery. Our AI platform is the core of Chemix. Though data is first and foremost in any application of AI, it is typically very scarce in materials development. We've designed our R&D operation to generate large, high-quality battery materials datasets. As a battery modeling engineer at Chemix, you'll be responsible for both the integration of physics-based battery models (DFN, ECM, thermal, etc.) into our automated experimental design pipeline at scale and the use of these models to address specific customer needs. You'll make a fundamental contribution to developing the batteries that will power the electrification revolution in transportation and beyond.

As an early employee at a fast-moving startup, we expect you to quickly and creatively solve all kinds of technical problems, including those beyond your core expertise. An ideal candidate is able to learn quickly, is eager to stretch their knowledge of the battery software stack, takes pride in the quality of their work, and wants to make a real impact in energy storage technologies for electric transportation.


  • Integrate physics-based battery models into our automated experimental design pipeline at scale
  • Develop physics-based battery models of our commercial-format cells in python or using COMSOL to address specific customer requests
  • Contribute code to Chemix's internal codebase (Python)
  • Interface with our machine learning scientists, battery engineers, and customers
  • Inform the optimization of the R&D process that generates our data