Our Company
Role Overview
Location: Ohio, United States
Why Join This Programme?
- Paid placement with a global hyperscaler, aligned to your engineering background
- Hands-on experience within a modern data centre environment
- Exposure to critical infrastructure including power, cooling, and control systems
- Opportunity to build a strong professional network across global engineering teams
- Valuable international experience that enhances your CV and career prospects
What You Will Gain
- Practical experience in a hyperscale data centre environment
- Exposure to reliability engineering and mission-critical systems
- International work experience in the United States
- Development of in-demand technical and operational skills
Key Responsibilities
- Perform hands-on repair, replacement, and installation of data centre hardware components (e.g., power supplies, fans, network cards) across the full lifecycle from deployment through to decommissioning and recycling
- Conduct routine inspections, preventative maintenance, and physical-layer troubleshooting, including cabling and port testing
- Manage inventory of spare parts and hardware to support timely repairs, upgrades, and deployments
- Collaborate with cross-functional technical teams to coordinate hardware replacements and infrastructure setup while minimising disruption
- Maintain accurate documentation of repair activities, maintenance logs, and configuration updates
- Support emergency response efforts to resolve critical hardware issues efficiently
Eligibility Requirements
- Eligible to participate in a J-1 Exchange Visitor Programme (Intern or Trainee categories)
- Degree in Computer Science, Engineering, or a closely related discipline within the required eligibility window
- Strong English communication skills and professionalism in a safety-critical environment
- Demonstrated interest in operations and reliability environments (e.g., power systems, cooling, automation, networking, controls)
- Commitment to programme guidelines, cultural exchange expectations, and safety standards
Programme Details
- Start Dates: Summer 2026 (July – August)
- Duration: Typically 12 to 18 months (depending on placement and visa category)
- Fields of Study: Computer Science, Electrical, Mechanical, Building Services, Energy Systems, Controls/Automation, Industrial/Manufacturing, Software/Network Engineering
- Location: Ohio, United States
What’s Included
- Role matching and placement support for hyperscale data centre opportunities
- Full guidance through the J-1 visa sponsorship process, including documentation and timelines
- Pre-departure preparation, onboarding support, and orientation
- Ongoing check-ins and support throughout your placement
- Practical settling-in assistance, including housing and local community resources
Application Process
- Submit your CV along with a short summary of your engineering discipline, relevant projects, and availability (from July 2026)
- Participate in screening and role matching based on availability
- Complete sponsorship paperwork, onboarding, and arrival planning
Belonging at EOS
StudySmarter Expert Advice🤫
We think this is how you could land USA – Data Centre Graduate (J‑1 Visa) in Banbridge
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at EOS will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at EOS
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress EOS.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show EOS that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
