Service Technology Engineering Intern Graduate Level (Summer 2027)

JOB SUMMARY

Vertiv is seeking a Service Technology Research Intern to support and accelerate the development of next-generation service technologies for cooling and power systems used in high-performance computing and AI-driven data center environments.

This role is open to graduate students including masters students doctoral students and PhD candidates pursuing advanced study in engineering applied data science computer science digital systems or a related technical field. The position is intended for candidates who can translate academic research analysis and technical problem solving into practical service concepts pilots and deployable service technologies.

The intern will work as a technical contributor and research partner to the Services Technology leadership team helping evaluate emerging technologies and convert research opportunities into actionable service use cases.

KEY RESPONSIBILITIES

Conduct applied research into emerging service technologies related to condition-based maintenance digital services IoT-enabled diagnostics reliability engineering and service analytics.

Translate academic research coursework or thesis-related concepts into practical service use cases pilots proofs of concept or technology recommendations.

Evaluate algorithms models architectures tools or analytical methods that may improve service efficiency asset reliability field diagnostics or maintenance decision-making.

Support technology readiness assessments maturity planning and pilot planning for new service concepts.

Collaborate with service engineering product and regional teams to support pilot execution and collect technical feedback.

Author technical documentation internal research briefs white papers test summaries and recommendations that can be used by service and engineering stakeholders.

Provide recommendations on future research directions partnership opportunities and investment priorities for service technology development.

REQUIREMENTS

Currently enrolled in a graduate degree program including a masters degree doctoral degree or PhD program in Engineering Applied Sciences Computer Science Data Science Reliability Engineering Controls Digital Systems or a related technical discipline.

Graduate students with research thesis capstone laboratory or applied project experience relevant to service technology are encouraged to apply.

Interest or experience in predictive maintenance data analytics machine learning IoT systems controls sensors diagnostics thermal systems power systems or reliability engineering.

Ability to connect technical theory with applied engineering service operations field use cases and business impact.

Strong written and verbal communication skills with the ability to summarize technical findings for both technical and non-technical audiences.

Ability to work independently while collaborating with cross-functional teams in a professional business environment.

PREFERRED QUALIFICATIONS

Experience using data analysis simulation modeling programming laboratory testing or instrumentation tools to solve technical problems.

Exposure to industrial equipment data center infrastructure HVAC/thermal systems power systems embedded systems controls or connected products.

Demonstrated ability to develop research questions evaluate technical alternatives and communicate findings through reports presentations or prototypes.

For doctoral or PhD candidates: experience translating advanced research into applied technology concepts is preferred but not required.

WHY JOIN VERTIV

This role offers a practical opportunity for a graduate student to apply research and technical problem solving to mission-critical data center infrastructure challenges at global scale. The intern will contribute to Vertivs long-term digital service strategy by helping identify evaluate and mature technologies that can improve serviceability reliability and customer outcomes.

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