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AES Clean Energy is seeking an experienced Principal 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.
They will be responsible for 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 running standard performance tests such as ASTM E2848 battery capacity testing and assisting the operations team in troubleshooting.
The successful candidate will have a depth of experience in the operation and analysis of photovoltaic and energy storage systems including a thorough understanding of photovoltaic plant physics Li-ion electrochemistry interconnection standards SCADA and networking systems. Experience with PV systems and battery systems ranging from 5 MW to 600 MW is preferable.
While performance analysis is the primary qualification the role will require the review of information related to all practical elements of photovoltaic and battery system design. The successful applicant while not an expert will be comfortable with high-level review of all elements of practical system design.
The position is in Louisville CO and may include up to 30% 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 project underperformance
- Perform or review capacity and performance tests for projects in construction (PV BESS & PV BESS)
- Seek and evaluate proposals for analysis services and consultants where needed
- Troubleshoot systems in operation and review system performance data to identify performance problems
- Work closely with project and field engineers to manage project timelines
Project Development:
- Review production estimates and meteorological data sources for accuracy by comparing to operational systems
- Review contracts to understand requirements of performance testing
Engineering Support:
- Collaborate with operations team to troubleshoot existing projects and develop repair and remediation plans
- Design solutions for repairs and modifications to systems and close the gap between various AES subcontractors and vendors where needed
Growth and Leadership:
- Improve and develop processes for the execution of safe quality and high-performance projects
- Mentor and educate team on changing trends in technology best practices and safety
- Participate in AES growth planning process by contributing to process improvement task forces and other strategic planning activities
Skills and Qualifications
Primary Qualifications:
- Undergraduate degree in Engineering or equivalent technical field
- 10 years professional experience in performance engineering and testing of complex generation systems preferably PV BESS
- Experience with advanced Excel or beyond Excel data analysis systems such as scientific python SAS R Julia Domino Datalab or comparable solutions for analysis of complex and large datasets
- Proficiency with SCADA systems (Isotrol Bluence/EtaPRO/OSI PI/Ignition) network design and advanced analysis tools
- Possess or be able to obtain a valid TWIC card within the first 90 days of employment.
- Field experience on photovoltaic or battery storage projects including troubleshooting quality evaluation and construction support
- Excellent communication task management and planning skills needed in addition to technical breadth.
- Demonstrated ability to approach problems with curiosity and a desire to understand root causes.
- Proven track record of acting with urgency and ownership in fast-paced high-impact environments.
Plus Qualifications:
- PE qualifications or on track to become qualified
- Masters/Ph.D. degrees in engineering
- 5 years of experience with PV and Battery Energy Storage System design and interconnection
- Spanish language skills
- OSHA 10-hr or comparable job-site safety certification
- Ability to work on different U.S. time zones
- 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 employees I-9 to confirm work authorization.
The expected salary for this position at commencement of employment is between $139000 and $174250/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.