PnP Optimization Engineer
WaabiFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates must have at least 5 years of experience in data science, machine learning, and/or control systems engineering roles, with at least three years of hands-on experience using Python and its scientific stack (pandas, numpy, scipy). Strong mathematical skills are required to apply new techniques to real-world problems, along with the ability to extract valuable insights from complex datasets and communicate findings clearly to diverse audiences. A passion for enabling a carbon-free, distributed energy future is essential.
The Senior Control and Optimization Engineer will drive the development of algorithms and software tools for grid services from distributed energy resources, such as electric vehicles and batteries. This role involves creating new mathematical models, writing production-level code, prototyping data products, and applying machine learning to energy IoT data. Responsibilities also include translating data into actionable insights and new software products, and collaborating with various internal and external stakeholders.
Manages distributed energy resources for utilities
EnergyHub helps utility companies manage the complexities of the energy grid, especially with electric vehicles (EVs) and distributed energy resources (DERs). Their main product, the Distributed Energy Resource Management System (DERMS) platform, uses artificial intelligence to optimize energy control at the grid edge, including features like Managed Charging for EVs. EnergyHub stands out by integrating with a wide range of partners and leveraging resources from its parent company, Alarm.com. The goal is to provide advanced grid services that enhance utility operations and customer satisfaction.