GE Vernova Physical AI & Robotics Incubation Intern

Job Description Summary

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.

Job Description

GE Vernova is advancing the future of industrial operations by integrating cutting-edge robotics and AI technologies to automate repetitive tasks within complex operational facilities. Through this internship, you will help pioneer robotic solutions that enhance efficiency, safety, and productivity in high-volume material handling, manufacturing processes, and component refurbishment environments.

In this internship, you will collaborate closely with operational teams and engineering experts to innovate and prototype intelligent robotic systems designed for real-world industrial settings. You’ll gain hands-on experience incubating automation solutions that address repetitive work challenges common in large-scale production and logistics environments. This is an opportunity to contribute directly to the digitization and modernization of foundational industrial workflows. You will:

• Engage with shop floor technicians, process engineers, and operations supervisors to define automation needs in manufacturing, warehousing, and remanufacturing workflows.

• Design, develop, and prototype robotic models and AI-driven control algorithms targeting repetitive manual operations that affect throughput and quality.

• Integrate robotic solutions with existing operational platforms and data systems to enable seamless automation management and monitoring.

• Collaborate with multidisciplinary teams within GE Vernova to ensure alignment between robotics solutions and broader business goals.

• Analyze operational data to identify bottlenecks and areas with high automation potential, applying data-driven insights to optimize workflow design.

• Deploy physical AI prototypes in controlled operational environments, measuring improvements in task efficiency, accuracy, and workforce safety.

• Document robotic system performance, including task execution before-and-after metrics and scalability considerations.

• Develop intuitive user interfaces and operator workflows to facilitate adoption of robotics tools with work streams.

• Present findings, challenges, and recommendations to stakeholders through detailed reports and presentations.

Project Outcomes:

• Successfully prototype and demonstrate robotic solutions that automate repetitive tasks within industrial operational environments such as manufacturing, warehousing, field service, or remanufacturing.

• Deliver measurable improvements in task cycle time, accuracy, or safety as validated through before-and-after performance data.

• Produce detailed documentation of development processes, integration challenges, and system impact to support knowledge transfer and future scaling.

• Develop operator-friendly workflows and interfaces that enable effective human-robot collaboration and promote adoption on the shop floor.

• Present clear, data-backed recommendations for scaling and deploying robotic automation across similar operational settings.

• Foster strong cross-functional relationships and communication channels to ensure robotics solutions align with operational needs and business objectives.

Primary Skills Developed:

• Robotics technology development, including AI-driven automation and prototype evaluation.

• Integration of physical AI systems into industrial operational environments and platform ecosystems.

• Cross-functional collaboration and stakeholder communication within complex manufacturing and logistics settings.

• Principles of industrial workflow design and human-robot interaction.

• Strategic problem solving in high-volume, repetitive task automation.

Internship Term Dates:

May/June - August 2026

Expected Work Schedule:

Day/1st -Shift (40 - hours weekly)

Qualifications:

• Pursuing a Bachelor's or Master’s degree in Science, Robotics, Electrical/Mechanical Engineering, or Data Science.

• Minimum GPA 4.0 / 5.0 scale.

• Applied knowledge of AI/ML, computer vision, or robotics — via coursework, side projects, or prior internships.

• Skilled in data science and AI technologies like Python, SQL, Pytorch, Scikit-learn Jupyter, Plotly, or other similar technologies

• Working knowledge of embedded computing including PLC, Raspberry Pi, Arduino, Nvidia Jetson, etc.

• Knowledge of enterprise automation (i.e. middleware) – integrating Physical AI into enterprise systems and workflows

• Comfortable working with technical ambiguity and learning fast in applied projects.

• Clear communicator who can explain complex concepts in simple and concise terms

• Value collaboration within and across teams

Desired Qualifications:

• Interest in solving physical-world problems using software and AI, especially in industrial or manufacturing contexts.

• Curious about product thinking — i.e., not just can we build it, but should we?

• Familiar with deploying software to cloud platforms (AWS, Azure, GCP)

• Steadfast in creating code that is understandable, simple, and clean

• Familiar with software development techniques, tools, and processes like source control (Git), Functional or Object Oriented Programing, Test Driven Development, Continuous Integration/Continuous Deployment (CICD)

Benefits Available to you:

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: Our Culture | GE Vernova (gecareers.com)

The pay for this position ranges from $27-36/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 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.)

General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a Sponsor”). Each Sponsor 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 Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual.

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.  Click here to learn more: https://jobs.gecareers.com/vernova/global/en/i-d-e

Additional Information