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GE Vernova Systems Architecture Intern

Job in Greenville, Greenville County, South Carolina, 29610, USA
Listing for: GE Vernova, Inc.
Apprenticeship/Internship position
Listed on 2026-10-10
Job specializations:
  • Engineering
    Electrical Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 1000 - 2000 USD Weekly USD 1000.00 2000.00 WEEK
Job Description & How to Apply Below
Position: GE Vernova Systems Architecture Intern – 2027
Job Description Summary

Addressing the climate crisis is an urgent global priority, and at GE Vernova, we take our responsibility seriously. That is the singular mission of GE Vernova: to continue electrifying the world while simultaneously working to help decarbonize it. Innovation. Are you passionate about innovation? Are you excited at the opportunity to electrify and decarbonize the world? We operate with a founder’s mindset.

We deliver innovation with passion, speed, and courage. We continuously challenge our thinking and are empowered to dream big and take smart risks. What impact you’ll make. As a student within the Systems Architecture team, you will be an active contributor to the application of Generative AI in product management, the execution of automation solutions and other services productivity initiatives.

Job Description

What you’ll do (Job Responsibilities)

  • Assist in developing AI-driven tools to improve and augment key business functions in engineering and product management.
  • Engage with cross‑functional teams, including Engineering, Services, manufacturing and digital technology, to integrate new methodologies.
  • Support the training and adoption of Generative AI tools within the organization.
  • Technical Research & Prototyping:
    Assist the engineering team in subcomponent selection, hardware research, and lab‑based prototype demonstrations to validate automation initiatives.
  • Data Gathering & Computer Vision:
    Drive collection of visual data from site visits.
  • Documentation & Operational Enablement:
    Help bridge the gap between development and field operations by assisting in the creation of training materials, and documentation required for handover to the services teams.
  • Work with the services team to drive productivity initiatives for planned inspections and upgrades.

What you’ll bring (Basic Qualifications)

  • Current enrollment in an undergraduate or graduate degree program in Mechanical, Chemical, Electrical, Computer Science Engineering.
  • Demonstrated basic knowledge of Artificial Intelligence (AI) applications.
  • Strong communication and interpersonal skills for cross‑functional collaboration.
  • Demonstrated ability to learn and adapt to new technologies in a fast‑paced, dynamic environment.

Eligibility Requirements: Ability to work on‑site as required by the business; must be legally authorized to work in the United States without sponsorship now or in the future.

What will make you stand out (Desired Qualifications)

  • You have a passion for exploring technological advancements and energy industry innovations.
  • You are someone who brings a proactive mindset toward process improvement and power generation industry problem solving.
  • You have experience with data analysis or tools related to power generation field such as Gas Turbines.
  • You have an interest in bridging the gap between digital technology development and on‑site power plant services.
  • Knowledge in Mechanical and Computer Science or Electrical and Computer Science is a plus.

About GE Gas Power

GE Gas Power engineers cleaner, more accessible energy that people depend on, powering growth and prosperity for people everywhere. Our leading technologies produce a third of the world’s electricity thanks to our talented people, who make gas work for our customers, stakeholders and the world. Through relentless innovation and continuous partnership with our customers, we are building the energy technologies of the future and providing the cleaner, more efficient power people depend on today.

The pay range for this position is $1,000-$2,000 USD weekly. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.

Benefits Available to you: Addressing the climate crisis is an…

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