Senior Performance Engineer

Role overview Improve the performance and operational efficiency of a portfolio of utility-scale and distributed solar photovoltaic assets across the United States. This role combines PV engineering, analysis of plant operating data, and predictive modeling to explain energy shortfalls and guide corrective action. You’ll work with asset management, operations and maintenance, data science, and software colleagues.

Responsibilities - Analyze solar plant SCADA and time-series data to assess operating behavior. - Compare actual production with expected energy output and investigate deviations. - Build performance models and predictive analytics to support operational decisions. - Identify energy losses, equipment problems, and other causes of underperformance. - Calculate and interpret performance ratio, availability, and related energy indicators. - Help automate analytics and reporting using programming tools and AI-enabled workflows.

Requirements - At least five years of experience in solar PV performance engineering, asset management, or performance analytics. - Strong photovoltaic modeling skills and experience with PVsyst. - Experience working with SCADA and time-series operational data. - Strong Python and SQL skills. - Knowledge of solar plant KPIs, energy losses, and performance testing. - Experience with a business intelligence platform such as Power BI or Tableau, and solid understanding of PV systems, inverters, trackers, and solar operations.

Nice to have Experience with pvlib or NREL SAM, machine learning, AWS or Azure, ASTM or IEC performance testing, or maintenance management platforms. A PMP certification is also listed. Familiarity with AI tools for analysis, research, drafting, or workflow automation is valued.

Benefits and work setup The role offers a collaborative environment, professional development, and opportunities to work across locations. Specific rewards and benefits depend on employment type and location.