GE Vernova Gas Power Electro Chemical Machining (ECM) & Fast Hole Drilling (FHD) Digital Development Intern - Summer 2026

GE Vernova•Greenville, NC

9d•$21 - $36

About The Position

Come and join our powerful, unified force with the energy to change the world. Our mission is BIG. Our TRANSFORMATION is key – bringing the right businesses together to LEAD the ENERGY TRANSITION. Our TEAM is ready. Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. Building on over 130 years of experience tackling the world’s challenges, GE Vernova is uniquely positioned to help lead the energy transition by continuing to electrify the world while simultaneously working to decarbonize it. GE Vernova helps customers power economies and deliver electricity that is vital to health, safety, security, and improved quality of life. What You’ll Do This would involve analytical feedback from Process Fingerprint of Electro Chemical Machining (ECM) and Fast Hole Drilling (FHD). The internship involves contextualizing existing machine data streams and then using advanced analytics to identify relationships between the machining process and part quality. Process modifications and operational limits will be identified / tested based upon these relationships, with the objective to reduce rework and part defects. This project is tied to the Automation Roadmap for the Gas Value Stream and the internship would specifically be focused on the digitalization connections at these processes. This would involve collaboration with Operations, Technical Support, IT, and the development/research teams. Many of the foundational pieces are in place but a strong data analytics resource with understanding of manufacturing / process engineering / AI tools is required to tie all of the data collection, analysis, and feedback to these production cells. Project Outcomes Digital tool connection to manufacturing processes - i.e. Vimana, SPEC, L2L, etc. Digital escalation based on data feedback Digital communication between processes - machine to machine Machine adaptability based on digital feedback

Requirements

Working towards a bachelor’s degree in a technical field of Computational Science, Industrial Engineering and Data Science study.
Minimum 4.0 GPA/5.0 scale (without rounding)
Must have the ability to work in the US for an unlimited amount of time without sponsorship

Nice To Haves

Experience with data analytics and AI application
Strong communication skills
Willingness to engage in industrial manufacturing environment

Benefits

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.
In order to meet this mission, we provide varied, competitive benefits to help support our workforce.
The pay for this position ranges from $21.00/hr - $36.00/hr based on years of undergraduate/graduate field of study completed.
This position is also eligible for:
Relocation Assistance: Co-op/Interns will be reimbursed for reasonable, proper, and documented expenditures incurred while initially reporting to work and returning to school/home upon completion of the assignment. Employees with a permanent address greater than 50 miles away from the work location are eligible.
Housing Allowance: Co-op/Interns employees receive a weekly housing allowance to help off-set living expenses when the co-op/Intern’s permanent residence is at least 50 miles away from the work location.
Employee Assistance Program , providing 24/7 confidential assessment, counseling and referral services
GE Vernova Retirement Savings Plan (RSP) after their accumulated service reaches 90 days, and they meet any other eligibility requirements as defined in the plans. (Eligibility occurs on the 1st of the month following the 90th day.)
Inclusion At GE Vernova, we believe in the value of your unique identity, background and experiences. We are committed to fostering an inclusive culture , where everyone feels empowered to do their best work because they feel accepted, respected and that they belong.