Company:
Chemix, Inc.
Location: Sunnyvale
Closing Date: 18/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Chemix is seeking a highly-motivated software engineer to develop and expand our AI platform for autonomous battery materials discovery and optimization. Better batteries are a critical piece of humanity's transition to sustainable energy. As a software engineer at Chemix, you will contribute to our mission by building and maintaining the data pipelines that process our large experimental datasets. 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 software development and computational infrastructure, takes pride in the quality of their work, and wants to make a real impact in energy storage technologies for electric transportation.
Responsibilities:
Develop and maintain data pipelines and core infrastructure for various types of battery data and use cases
Maintain and expand the codebases of our internal python libraries for battery data processing and machine learning
Design and implement new computational infrastructure as needed to facilitate our daily computational workflows
Introduce new software frameworks, workflows, and libraries, and development practices
Interface with our machine learning research staff, data engineers, and battery engineers to understand our software and data use cases, and design and implement solutions
Inform the optimization of the R&D process that generates our data
Requirements
Either:
Degree in computer science and 2+ years of work experience, or
Degree in the physical, chemical, or biological sciences, combined with 4+ years of work experience in software development
Also:
Extensive experience with the python data stack, e.g. pandas, numpy, Dask
Experience with cloud web services (AWS, Google Cloud, Azure, etc.), databases, and Docker
Experience with software dev-ops: git, testing, CI/CD
Clear communication and good people skills
Strong organization and ability to manage parallel projects
Nice to have:
Experience with workflow orchestration tools, e.g. Airflow, Prefect, Luigi
Previous experience with batteries and battery data
Familiarity with experimental 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)
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 software development and computational infrastructure, takes pride in the quality of their work, and wants to make a real impact in energy storage technologies for electric transportation.
Responsibilities:
Develop and maintain data pipelines and core infrastructure for various types of battery data and use cases
Maintain and expand the codebases of our internal python libraries for battery data processing and machine learning
Design and implement new computational infrastructure as needed to facilitate our daily computational workflows
Introduce new software frameworks, workflows, and libraries, and development practices
Interface with our machine learning research staff, data engineers, and battery engineers to understand our software and data use cases, and design and implement solutions
Inform the optimization of the R&D process that generates our data
Requirements
Either:
Degree in computer science and 2+ years of work experience, or
Degree in the physical, chemical, or biological sciences, combined with 4+ years of work experience in software development
Also:
Extensive experience with the python data stack, e.g. pandas, numpy, Dask
Experience with cloud web services (AWS, Google Cloud, Azure, etc.), databases, and Docker
Experience with software dev-ops: git, testing, CI/CD
Clear communication and good people skills
Strong organization and ability to manage parallel projects
Nice to have:
Experience with workflow orchestration tools, e.g. Airflow, Prefect, Luigi
Previous experience with batteries and battery data
Familiarity with experimental 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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