Senior PV Engineer

Job Summary:

​The Senior PV Engineer reports to our VP of R&D. The job may be located onsite in Chandler, Arizona or may be remote. You will be trained to become an in-house subject matter expert on PV performance modeling and data analysis, to support sales and delivery of SmartTrack, Array’s proprietary solar tracker optimization technology.

Key Job Responsibilities:

• Maintain and improve in-house PV performance modeling methodology to quantify the energy effects of solar tracker control optimization on variable terrain; Maintain and improve existing processes to work with Technical Sales to issue project-specific modeling estimates for customers.

• Work in a team to learn and improve in-house process for implementing SmarTrack (ARRAY’s proprietary solar tracker optimization technology) on PV power plants per orders received.

• Maintain and improve in-house tools for energy analysis to show the gains from SmarTrack products.

• Work with third parties (independent engineering firms, customers, etc.) to validate our PV modeling methodology improvements, scheduling and executing field experiments as necessary.

• Ideate and carry out R&D on new solar tracker control enhancements and PV modeling methodologies; Leverage existing R&D facilities, working outdoors to add new sensors and equipment as necessary; Draft patent applications and work with patent attorneys as necessary.

• Prepare technical documents targeting internal team members and customers on topics related to PV modeling and SmarTrack; Work with Technical Writers to formalize documents when necessary.

• Represent ARRAY at technical industry events.

• Report work progress regularly to the Hiring Manager.

Qualifications:

• Bachelor’s degree in a relevant Engineering or Science discipline with 8+ years of relevant experience
  OR Master’s degree in a relevant Engineering or Science discipline with 6+ years of relevant experience
  OR PhD in a relevant Engineering or Science discipline with 2+ years of relevant experience

• Proficient in programming in Python using pandas and pvlib libraries; Candidate will be subjected to a test in the interview process.

• Good understanding of PV performance modeling and simulation; Candidate will be subjected to a test in the interview process.

• Proficient in written and spoken English.

• Knowledgeable in using Microsoft Office software on Windows OS.

• Team player and fast learner.

Preferred qualifications:

• 5+ years of experience in the solar industry.

• 2+ years of experience in using PlantPredict, SolarFarmer, and/or PVsyst.

• Knowledgeable in using Python libraries for electrical circuit simulation, such as pvmismatch.

• Knowledgeable in working with Linux OS.