Field Instrumentation Design Internship

Internship Overview

You wont 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. Youll 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 youll 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

This role sits at the intersection of field instrumentation embedded systems industrial networking and cybersecurity. The intern will help develop evaluate and improve temporary sensing and telemetry systems used across Fervos geothermal operations while testing approaches to make remote data acquisition networks more reliable scalable and secure.

Over the 12-week internship the intern will own a technical project focused on improving the architecture cybersecurity edge computing capabilities or reliability of Fervos temporary data acquisition systems. The work will combine hardware prototyping networking data analysis targeted field deployments and collaboration with Fervos Data Acquisition IT and OT teams.

The internship will include a combination of office and lab-based engineering work and hands-on field assignments at Fervo operating sites. The amount and timing of field work may vary based on project scope and operational needs. Field assignments may include multi-day deployments supporting sensor installation telemetry commissioning troubleshooting system validation and data collection.

Responsibilities

• Develop prototype and test Industrial IoT and edge computing solutions using platforms such as Raspberry Pi Arduino industrial edge controllers and remote telemetry hardware
• Design and improve telemetry workflows connecting field sensors edge devices industrial networks and centralized data systems
• Collaborate with Data Acquisition IT and OT teams to improve network connectivity remote access and cybersecurity for temporary data acquisition systems and distributed fiber optic sensing interrogators
• Perform pressure temperature flow meteorological and other field measurements using temporary data acquisition skids point sensors and fiber optic sensing systems
• Assist with the deployment commissioning monitoring and troubleshooting of remote seismic stations and other field instrumentation
• Evaluate system reliability and data quality through analysis of sensor network and telemetry performance
• Document hardware configurations network architectures test results and recommended practices for future field deployments

Required Qualifications

• Rising Junior Senior Masters candidate wrapping up within the next year or PhD candidate were building a pipeline toward full-time offers
• Hands-on experience with embedded or edge computing platforms such as Raspberry Pi or Arduino telemetry systems electronics or hardware prototyping
• Strong written and verbal communication skills including comfort presenting to stakeholders and leadership
• Eagerness to learn take initiative and adapt quickly to new challenges
• Basic understanding of computer networking including TCP/IP Ethernet Wi-Fi routing and common network troubleshooting concepts
• Ability and willingness to participate in hands-on field assignments at geothermal sites including instrumentation installation commissioning data collection and troubleshooting

Preferred Qualifications

• Experience with field sensor deployment meteorological data acquisition or fiber optic instrumentation
• Prior coursework or project experience in network security OT/ICS systems or industrial cybersecurity frameworks
• Experience with Python Linux SSH Git or scripting
• Familiarity with industrial communications and telemetry protocols such as Modbus TCP/RTU MQTT OPC UA or serial communications
• Experience with industrial routers cellular modems VPNs firewalls VLANs or other remote networking technologies
• Experience with DAQ systems PLCs industrial edge controllers SCADA systems or time-series sensor data