Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We move quickly and fix things. We are environmentally and data-driven, with a growth-oriented, academic mindset. We value integrity as much as excellence.

We are looking for an Optimization Research Scientist to expand the horizons of our technology as we work to accelerate the decarbonization of the electricity system. This role involves applied research, and hence the ideal candidate will possess a deep understanding of mathematical optimization methods, and will develop the knowledge and understanding necessary to apply them to energy markets. They will investigate new approaches to optimization problems we are currently solving, as well as designing optimization formulations for problems we don't yet solve. A successful candidate will embrace constant learning of both engineering and mathematical concepts, as well as economics and electricity market related topics.