Data Center Integration 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

Position Overview:
As an Advanced Controls Engineer, you will join a multidisciplinary team addressing the complex challenges of integrating AI data centres with power plants and electrical grids. You will develop adaptive and predictive control solutions to enhance operational resilience and stability across interconnected systems, using advanced machine learning and model-based engineering approaches.

Key Responsibilities:

• Collaborate with GE Vernova’s Controls & Electrical Systems teams and MIT partners to design and implement innovative control strategies for variable grid strength and dynamic load demands.

• Develop and leverage machine learning models utilizing operational data to build accurate system models and enable predictive control based on real-time feedback.

• Perform estimation of system parameters using plant data, electrical models, physics-based simulations, and advanced control algorithms.

• Analyse and address electrical and mechanical challenges arising from AI data center integration with power plants and grids.

• Contribute to scenario development for adapting power generation controls to evolving grid conditions.

• Present findings, methodologies, and outcomes to internal stakeholders and external collaborators, including MIT research teams.

Required Qualifications:

• Currently pursuing a master’s in electrical engineering, Mechanical Engineering, Controls Engineering, Computer Science, or a related field.

• Minimum 4.0/5.0 GPA, without rounding.

• Foundational knowledge and Demonstrated interest on advanced control concepts for power systems (academic, research, or project-based).

• Exposure to machine learning techniques applied to system modelling and control (coursework, academic projects, or research experience).

• Strong analytical and problem-solving skills, with experience in data-driven modelling, simulation, or algorithm development as part of studies or projects.

• Ability to work collaboratively in multidisciplinary and research-driven environments.

• Proficiency in programming languages such as C/C++, Python, R, or similar, for algorithm development, data analysis, and simulation.

Desired Skills:

• Exposure to power plant control systems, grid modelling, and turbine control operational challenges.

• Familiarity with AI data Center load profiles and their impact on electrical grid and power plant operations.

• Working knowledge of model-based engineering and real-world power system simulation tools.

• Strong communication and presentation skills for cross-functional and academic collaboration.

Project Outcomes & Career Development:

• Lead the development of advanced controls and electrical system scenarios for variable grid strength adaptation.

• Gain exposure to cutting-edge research in power system control, predictive modelling, and real-time system optimization.

• Work directly with MIT and GE Vernova experts to address real-world challenges and deliver impactful solutions for the energy sector.

• Build expertise in power generation operational challenges, control techniques, and next-generation energy system integration.

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 $36/hr.

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