June 11
🏢 In-office - Bay Area
• 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
• 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 • 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
• 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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