Asset Reservoir Engineering Internship in Houston, Texas at Fervo Energy Company

Internship Overview

You won't be running coffee orders or shuffling paperwork this summer. At Fervo, interns are handed something real: a project of your own, scoped with your manager on day one and yours to drive for the full 12 weeks. You'll work side-by-side with the teams building the next generation of geothermal energy, tackling problems that genuinely move the business forward. At the end of the summer, you'll present your work to our executive leadership team, department leads, and fellow interns, sharing real results with a real audience. This is a real seat at the table — and a real shot at what comes next.

Position Description

Fervo Energy is developing next-generation geothermal power to deliver firm, carbon-free energy at scale, anchored by our flagship Cape Station development in Milford, Utah. As an Asset Reservoir Engineering Intern, you'll join our Reservoir Engineering team to analyze well performance data and help build the models that inform how Fervo designs and spaces future geothermal wells.

Responsibilities

• Build analytical models (e.g., material balance, capacitance-resistance modeling, voidage replacement ratio, nodal analysis) to evaluate well pattern circulation performance
• Compare analytical model results to numerical model results
• Analyze injection, production, pressure, and well data
• Attend Resource team meetings, stimulation calls, and RE shares to build familiarity with Fervo operations

Required Qualifications

• Rising Junior, Senior, Master's, or PhD candidate in petroleum or energy-related engineering program wrapping up within the next year — we're building a pipeline toward full-time offers
• Strong written and verbal communication skills, including comfort presenting to stakeholders and leadership
• Eagerness to learn, take initiative, and adapt quickly to new challenges

Preferred Qualifications

• Interest in analytical reservoir engineering methods (e.g., material balance, CRM, nodal analysis)
• Experience with simulation and/or numerical modeling
• Comfort working with production, injection, and pressure data