- Develop new models of physical systems, and extend established models to new applications, and implement advanced computing techniques to improve model accuracy and performance.
- Work with electrical engineers, battery engineers, and systems engineers to evaluate the combined behavior of complex grid-scale battery energy storage systems.
- Support hardware testing, test plan development, testing strategy, and prototype evaluations.
- Communicate, document findings clearly and take ownership of data-driven design recommendations which increase Fluence s competitive advantage.
- Collaborate within cross-functional teams (Sales, Engineering, etc.), and communicate with stakeholders to understand their requirements.
- Support development of Product Guides and other documentation related to product operation and performance, for use by customers and internal stakeholders. Support sales operations by incorporating key performance metrics into Fluence s technical sales tools.
- Perform additional responsibilities as assigned.
Job Qualifications Skills
- Master s degree in engineering, computer science, or another quantitative field.
- 3+ years of work experience with scientific modeling of physical systems using large data sets of electrical, chemical, or mechanical engineering data.
- Working knowledge of Python (required), and tabular databases.
- Knowledge of data structures, coding best practices, and key tools, such as GitHub, AWS
- Ability to work collaboratively in remote teams.
- Fluency in English.
