Swish Solar is building the operating layer for utility scale solar infrastructure. As solar farms scale globally, owners and operators need better systems to understand solar asset performance.

Our core platform, SwishOS, brings together SCADA, inverter, weather, satellite, soiling, and operational data to give solar teams a real-time view of plant performance and maintenance priorities. SwishOS helps operators identify energy losses, estimate soiling impact, recommend cleaning and maintenance actions, and move from reactive operations to proactive, data driven solar asset management.

About the Role

We are looking for an Applied Scientist to join our R&D team and build reliable algorithms for solar performance analysis, soiling detection, and maintenance optimization. This role combines physics-guided reasoning, statistics, and machine learning to work with messy real-world plant data and help move models into production...