Senior Control and Optimization Engineer

About EnergyHub

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.

About the Opportunity

Enabling millions of distributed energy devices to deliver reliable and predictable grid services to the electricity industry requires state-of-the-art data science, control systems, and machine learning algorithms. As such, EnergyHub seeks to hire a Senior Control and Optimization Engineer to join EnergyHub’s Data Science and Power Systems Intelligence team. As a Senior Control and Optimization Engineer, you will work closely with some of the brightest minds in the electricity industry to solve some of the most difficult problems in distributed energy. The algorithms and data management software systems that you contribute to will be key to enabling a carbon-free distributed energy future.

Main Responsibilities: What you’ll do

• Drive the development of algorithms and software tools for enabling and evaluating advanced grid services from fleets of distributed energy resources, like electric vehicles, batteries, and flexible heating/cooling systems.
• Develop new mathematical models, write production-level code, prototype new data products, and apply machine learning algorithms to energy IoT data.
• Translate data from one of the largest distributed energy datasets in the electricity industry into actionable insights and new software products for electric utilities and other energy industry stakeholders.
• Collaborate closely with stakeholders inside and outside of EnergyHub including Data Engineering, Client Success, Marketing, Sales, Product, and Market Development teams.
• Other duties as assigned.

Required Skills and Experience: What you need

• At least 5 years of experience in data science, machine learning, and/or control systems engineering roles.
• Passion for enabling a carbon-free, distributed energy future.
• Strong mathematical skills, with the ability to apply new mathematical techniques to real-world problems.
• At least three years of hands-on experience with Python and the scientific stack (pandas, numpy, scipy).
• An ability to find valuable insights in large, complex datasets.
• Ability to explain results from large-scale data analyses to diverse audiences in a way that is clear, interesting, and actionable.
• Ability to have fun while working on really hard problems with really smart people.

Preferred Skills and Experience: Nice-to-haves

• Experience bringing long-term research projects, such as an MS or PhD thesis, to a successful conclusion.
• Experience developing control and optimization solutions for large-scale problems.
• Experience developing solutions in the electricity industry in areas that require advanced algorithms, such as control systems for distributed energy resource (DER) management, transmission and distribution system engineering, or power generation dispatch optimization.
• Experience using machine learning algorithms including experience with ML software packages such as Sklearn, PyTorch, and Tensorflow.
• Experience building large-scale data science products in the cloud (e.g., Databricks, AWS, GCP, Azure, Snowflake).
• A strong background in mathematics and statistics.
• Experience using Large Language Models to accelerate software development and add new capabilities to real products.
• Experience developing software systems for cloud deployment.

Why work for EnergyHub?

• Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
• Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team!
• Gain well-rounded experience: EnergyHub offers a diverse and dynamic environment.