Neural AI

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Renewable Energy Engineer

Energy Mid-level (L4 equivalent) 2-5 years
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The job description

Tech stack. PVsyst, WindPro, OpenWind, SAM (System Advisor Model), QGIS, Python, SCADA data platforms, AutoCAD Civil 3D

About the role

You will join a renewable energy developer that originates, designs, and builds utility-scale wind and solar projects across multiple markets. The engineering team owns resource assessment, plant layout, and energy yield analysis from greenfield prospecting through financial close. This role matters because your yield numbers set project valuations, your layouts determine constructability, and your technical judgment directly moves megawatts from pipeline to operating assets. You will also be the team's authority on evolving resource assessment standards, from IEC 61400-15 for wind to bifacial and albedo modeling practices for solar, and you will defend those methods in front of lenders who have seen every shortcut in the book. Beyond greenfield work, you will support M&A technical due diligence, re-rating operating assets when fresh met data or turbine upgrades change the yield picture. The role keeps you close to the commercial side as well, translating P50/P90 spreads and exceedance curves into language developers and finance teams can price. Over time you will build the team's reference library of site-specific loss assumptions, so each new assessment starts from validated priors instead of a blank page.

What you will achieve

What you will bring

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