Associate Performance Engineer

AES Corporation
$71,000 and $85,850/Annual
parental leave, paid time off, sick time, 401(k)
United States, North Carolina, Charlotte
Nov 12, 2025
Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries, AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work, you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas. AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023, we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization. If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation. AES Clean Energy is seeking an Associate Performance Engineer to support engineering, construction and operations teams by analyzing the performance characteristics of photovoltaic and battery storage projects in construction, commissioning and operation. The Associate Performance Engineer will have knowledge of data analysis, especially in "beyond Excel" systems like EtaPRO, Python or R. In addition, they will be interested in learning technical platforms like Domino Datalab, Google Cloud Storage, and Google BigQuery or Power BI. The Associate Performance Engineer will be an enthusiastic learner who is willing to dive into solving open-ended analysis problems by creating new approaches. The Associate Performance Engineer will support bridging the gap between projects in construction, and projects in long-term operation by analyzing production data, identifying commissioning problems such as failed sensors or incorrect SCADA calculations, Dashboard and KPI implementation and running standard performance tests such as ASTM E2848, battery capacity testing and assisting the operations team in troubleshooting. The position is in Louisville, CO, and may include up to 10% travel to project locations and partner offices. Key Responsibilities Project Execution and Operation Test newly commissioned SCADA systems for completeness and accuracy Perform "big data" analysis to identify major sources of site underperformance Build Dashboards to track key KPI metrics Perform or review capacity and performance tests for projects in construction (PV, BESS & PV + BESS, E2848) Analyze error codes of inverters, controllers, BMS, trackers and HVAC units Work closely with project engineers to manage project timelines Skills and Qualifications Primary Qualifications Undergraduate degree in Engineering or equivalent technical field 1+ years professional experience in performance engineering and testing of complex generation systems, preferably PV + BESS Experience with "beyond Excel" data analysis systems such as scientific python, SAS, R, Julia, Domino Datalab or comparable solutions for analysis of complex datasets Experience developing test plans or experimental plans "Plus" Qualifications Proficiency with SCADA systems (Isotrol Bluence/EtaPRO/OSI PI), network design and advanced analysis tools Six Sigma Certification +3 years of experience with PV and Battery Energy Storage System design and interconnection Spanish language skills Ability to work in different time zones, particularly HI, for 25% of the time Experience with development of ML/AI algorithms for underperformance detection AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization. The expected salary for this position, at commencement of employment, is between $71,000 and $85,850/Annual; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements such as annual bonus, in addition to a full range of medical, dental, vision, life, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.