Battery Modeling Engineer

Found in: Resume Library US A2 - 2 weeks ago

Sunnyvale California, United States Chemix, Inc. Full time
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.

Responsibilities:

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

Requirements

PhD in battery modeling or similar, or significant previous experience

Extensive experience with python and standard battery modeling frameworks, e.g. PyBaMM, COMSOL

Experience with the fundamentals of data science and software ops: git, testing, CI/CD

Clear communication and good people skills

Strong organization and ability to manage parallel projects

Nice to have:

Experience with python software development best practices

Experience with workflow orchestration tools, e.g. Airflow, Prefect, Luigi, Dagster, and scaling tools such as Dask

Experience with machine learning and data science / statistics techniques

Experience with cloud web services (AWS, Google Cloud, Azure, etc.), Docker, Kubernetes

Familiarity with experimental battery chemistry/materials science

Benefits

Stock Option Plan

Health Care Plan (Medical, Dental & Vision)

Retirement Plan (401k)

Paid Time Off (Vacation, Sick & Public Holidays)

Family Leave (Maternity, Paternity)

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