System Test Engineer Intern – AI-Driven QA (Summer 2027)

Vertiv Corporation

Dover (OH)

On-site

USD 25,000 - 39,000

Full time

14 days+

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Job summary

Vertiv is seeking a System Test Engineering Intern for Summer 2027 in the Core Engineering team. You will gain hands-on experience verifying system-level behavior of intelligent monitoring and power management products, across hardware and software interfaces, including firmware, web UI, CLI and API testing.

Join a collaborative, fast-paced environment where you will document defects, participate in Agile test reviews, and apply Generative AI tools to automate workflows and improve data quality

Qualifications

  • Pursuing a degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
  • Excellent written and verbal communication skills.
  • Strong analytical and critical thinking.
  • Willingness to learn in a fast-paced environment.
  • Familiarity with networking fundamentals (IP, HTTP/HTTPS, SSH).
  • Exposure to Linux command-line environments.

Responsibilities

  • Execute system-level test cases against firmware builds on physical and virtualized test environments.
  • Document and report defects with clear reproduction steps, expected vs. actual results, and logs.
  • Participate in defect triage and test review sessions using Agile practices.
  • Validate features including web UI, CLI, and API interfaces on PDUs, BMCs, and environmental sensors.
  • Use Generative AI tools to support test documentation, log analysis, and workflow automation.
  • Monitor test results for data quality and integrity and collaborate to resolve discrepancies.
  • Stay current with trends in test engineering and QA, seeking opportunities to improve skills.

Skills

Communication
Analytical thinking
Teamwork
Problem solving
Networking basics
Linux command line
Willingness to learn
Detail-oriented

Education

Pursuing CS/CE/EE degree

Job description

Vertiv is seeking a System Test Engineering Intern for Summer 2027 in the Core Engineering team. You will gain hands-on experience verifying system-level behavior of intelligent monitoring and power management products, across hardware and software interfaces, including firmware, web UI, CLI and API testing.

Join a collaborative, fast-paced environment where you will document defects, participate in Agile test reviews, and apply Generative AI tools to automate workflows and improve data quality

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