Job Description Summary

We are seeking a highly motivated and analytically driven Manufacturing Process Optimization Intern to join our operations team for Summer 2026. In this role, you will directly contribute to measurable cost reduction initiatives by conducting structured process audits, performing data-driven analyses, and leveraging modern AI platforms to identify and implement workflow improvements across manufacturing operations.

This is a hands-on opportunity to make a real impact — working alongside engineers, operations managers, and data teams to drive efficiency and reduce waste.

Job Description

Key Responsibilities

Conduct process audits across selected manufacturing workflows to identify inefficiencies, redundancies, and cost drivers

Perform data collection and analysis using structured datasets to uncover trends, anomalies, and opportunities for cost reduction

Map and analyze end-to-end workflows, documenting current-state processes and identifying gaps versus best-practice standards

Utilize AI platforms and automation tools (provided by company) to prototype process improvements and automate repetitive tasks

Develop and present data-backed recommendations for process changes, supported by quantified cost savings projections

Track and report key performance indicators (KPIs) related to cost, cycle time, and process quality throughout the internship period

Required Qualifications

Currently pursuing a Bachelor's in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Data Science, or a related field

Expected graduation between December 2026 and May 2028

Demonstrated academic or project experience in data analysis, process mapping, or operations management

Proficiency in data tools such as Microsoft Excel and PowerBI

Familiarity with or strong interest in AI and automation platforms for business process optimization

Strong analytical and problem-solving skills with attention to detail

Effective written and verbal communication skills; ability to present findings clearly to technical and non-technical audiences

Preferred Qualifications

Exposure to Lean Manufacturing, Six Sigma, or Kaizen methodologies

Hands-on experience with AI-assisted workflow tools or low-code/no-code automation platforms

Experience working with large datasets and building dashboards or reports

Shift: Mon-Fri 8:00am-5:00pm

This is a temporary position From May 4th-August 31st. Time can be flexible.

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.

Additional Information

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: No

For candidates applying to a U.S. based position only:*The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas.This posting is expected to remain open for at least seven days after it was posted on April 13, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance and 12 paid holidays. New hires also two weeks of annual vacation (which may be pro-rated based on start date).GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.