Software QA Engineering Intern — Hands-On Testing & AI

Eaton

Plymouth (MN)

On-site

USD 31,000 - 52,000

Full time

14 days+
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Job summary

Eaton's EPG EAS Electrical Automation Solutions division is offering a 12-week Software Quality Assurance Engineering Internship at the Plymouth, MN site. You will gain hands-on experience in software testing, test automation, defect analysis, and quality engineering practices, while collaborating with software quality engineers, developers, and product teams.

The role focuses on validating software for smart grid and power distribution solutions, with exposure to AI-assisted testing and CI/CD

Qualifications

  • Currently enrolled in or recently completed a bachelor’s or master’s degree in Computer Engineering, Software Engineering, or Computer Science with a graduation date no earlier than December 2027.
  • Familiarity with object-oriented programming concepts and development using Java or .NET/C# is preferred.
  • Experience with Agile/Scrum and SDLC tools is desirable.

Responsibilities

  • Design, develop, and execute manual and automated test cases to validate software functionality, performance, reliability, and usability.
  • Develop, maintain, and enhance automated test frameworks to improve testing efficiency and repeatability.
  • Investigate, document, and verify software defects and perform root cause analysis with the scrum team.
  • Support software verification and validation activities, including CI/CD integrations.
  • Apply AI-powered testing concepts and tools to improve quality engineering practices.

Skills

QA testing
Test automation
CI/CD
Java/.NET
Agile/Scrum
SDLC tools
GPA 3.2+

Education

Bachelor’s degree in Computer Engineering, Software Engineering, or Computer Science

Job description

Eaton's EPG EAS Electrical Automation Solutions division is offering a 12-week Software Quality Assurance Engineering Internship at the Plymouth, MN site. You will gain hands-on experience in software testing, test automation, defect analysis, and quality engineering practices, while collaborating with software quality engineers, developers, and product teams.

The role focuses on validating software for smart grid and power distribution solutions, with exposure to AI-assisted testing and CI/CD

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