This is a San Francisco based position that is currently remote and will have a hybrid schedule once we return to office. We are open to candidates willing to relocate to the San Francisco Bay Area.

ABOUT GELI

Geli (Growing Energy Labs, Inc.) provides software and business solutions to design, connect, and operate energy storage systems ranging in size from residential to utility-scale, as well as grid-tied, microgrid, and off-grid systems. Geli’s suite of products creates an ecosystem where project developers, OEMs, financiers, and project operators can deploy advanced energy projects using a seamless hardware-agnostic software platform.

Geli is a subsidiary of Hanwha Q CELLS, one of the world’s largest photovoltaic manufacturers most recognized for its high-performance, high-quality solar cells and modules.

OUR VISION

Geli is committed to helping make the planet a cleaner, better place to live, both with our software products and through our everyday actions.

Imagine a world where there is less reliance on non-renewable power, where you source your electricity from your neighbors rather than from power stations hundreds of miles away and software makes the best possible use of the solar, wind, and battery storage available. This is our vision.

We are looking for enthusiastic colleagues that are not only fluent in technology, but also share our vision of a world running on 100% renewable energy.

ABOUT THE JOB

Geli is looking for an experienced optimization engineer with a software development background in Python to join our Data Science team. Geli is innovating the way distributed energy resources are controlled, and the optimization engineer will help refine and develop the algorithms which are at the heart of it all.

As applications of energy resources continue to proliferate and evolve, our formulation of economic objectives needs to be updated to reflect these changes. The optimization engineer will formulate these new objectives, refine methods to hedge against uncertainty, and collaborate with our forecasting data scientists to maximize expected savings. Our data analytics and cloud platforms use state-of-the-art technologies to set you up for success. Since optimization is at the core of Geli, you will have plenty of opportunities to learn about and contribute to the software development of our other energy storage software products.

We are looking for a motivated self-starter that thrives in a dynamic environment. A strong work ethic with excellent problem-solving skills are equally important as being a team player who enjoys to learn and teach.

You will work closely with the rest of the data science, product, and software engineering teams to execute job duties listed in "Primary Responsibilities". For this position, we are open to remote work.