Design Engineering Intern (Summer 2027)

About the role

We are seeking a dedicated and proactive individual to join our Core Engineering team as an Engineering Intern. This internship offers an excellent opportunity to gain hands-on experience in various aspects of hardware and firmware development within our organization. The ideal candidate is passionate about leveraging engineering in the areas of development including Design Engineering, Test Engineering and the use of Generative AI.

The successful candidate will embrace Vertiv’s Core Principles & Behaviors to help execute our Strategic Priorities. OUR CORE PRINCIPLES: Safety. Integrity. Respect. Teamwork. Inclusion. OUR STRATEGIC PRIORITIES High-Performance Culture Customer Focus Operational Excellence Innovation Financial Strength VERTIV BEHAVIORS Own it Act with urgency Foster a customer-first mindset Think big and execute Lead by example Drive continuous improvement Learn and seek out development Promote transparent & open communication

Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers’ vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today’s data centers, communication networks, and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.

Responsibilities

• Development of firmware/software on embedded Yoto Linux environment.
• Create new features/software/development with the use of GenAI tools.
• Learn and use Agile Development for product design and test.
• Monitor data quality and integrity, identifying any discrepancies or issues and collaborating with the team to resolve them.
• Stay updates with the latest trends and technologies in data analytics, continuously seeking opportunities to enhance your skills and apply new techniques.

Qualifications

• Must be pursuing a degree in Computer Engineering, Computer Science, or a related field.
• Excellent written and verbal communication skills
• Demonstrated work ethic and detail-orientation
• Strong analytical and critical thinking skills
• Ability and willingness to learn in a fast-paced environment and produce high-quality work
• Collaboration and teamwork