Internship: Software Quality Assurance Engineering

Eaton’s EPG EAS Electrical Automation Solutions division is currently seeking a Internship: Software Quality Assurance Engineering.

The hourly rate for this position is $22.15 - $37.50 per hour.

Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.

What you’ll do:

Do you want to gain valuable hands‑on experience and work alongside experienced quality assurance professionals to help deliver high‑quality software solutions?

Over the course of this twelve‑week paid internship based at the Plymouth, MN site (about 10 miles west of Minneapolis), you will gain a firm grasp of our core engineering competencies and a holistic view of our technology‑driven solutions that serve our wide range of customers.

Launch your career with an internship that provides hands‑on learning, professional development, and mentorship from experienced industry professionals. Are you ready to begin your journey?

The Software Quality Assurance Engineering Intern is an integral member of a multidisciplinary engineering team at Eaton’s Plymouth, MN facility. In this role, you will help ensure the quality, reliability, and performance of software solutions that support our smart grid and power distribution solutions. Working alongside experienced engineers, you will gain hands‑on experience in software testing, test automation, defect analysis, and quality engineering practices.

You will collaborate with software quality engineers, software developers, and product teams to validate software functionality, develop automated test solutions, investigate defects, and support the delivery of high‑quality software products. You will also gain exposure to AI‑powered tools and learn how emerging technologies are transforming software testing, automation, and quality engineering processes.

This internship offers an opportunity to develop both traditional quality assurance skills and modern AI‑assisted testing capabilities while contributing to innovative software solutions.

In this role, you will:

• Collaborate with software quality engineers, software developers, and product teams to understand requirements, user stories, and acceptance criteria, ensuring comprehensive test coverage throughout the development lifecycle.
• Design, develop, and execute manual and automated test cases to validate software functionality, performance, reliability, and usability for smart grid and power distribution solutions.
• Develop, maintain, and enhance automated test frameworks and test cases to improve testing efficiency, repeatability, and overall product quality.
• Investigate, document, and verify software defects, perform root cause analysis, and partner with scrum team to ensure timely resolution of issues.
• Support software verification and validation activities, including integration testing, regression testing, system testing, and participation in CI/CD processes.
• Utilize AI‑powered tools and emerging technologies to enhance software testing, test automation, defect analysis, data analysis, and quality engineering practices.
• Analyze test results and quality metrics, participate in reviews and quality‑focused engineering activities, and contribute to the successful delivery of high‑quality software products.

Qualifications:

Required Qualifications:

• Actively enrolled in or received a bachelor’s or master’s degree program in Computer Engineering, Software Engineering, or Computer Science at an accredited institution with a graduation date no earlier than December 2027.
• Minimum GPA of 2.8 or above.
• Eaton will not consider applicants for employment immigration sponsorship or support for this position. This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F‑1 to H‑1B, H‑1B cap registration, O‑1, E‑3, TN status, I‑485 job portability, etc.

Preferred Qualifications:

• Prior internship or co‑op experience.
• Junior or higher standing.
• Minimum GPA of 3.2 or above.
• Working knowledge of object‑oriented programming concepts and development using Java, .NET/C# or similar coding language.
• Familiarity with Agile Scrum concepts (or other iterative development methodology).
• Familiarity with using SDLC management tools in a team environment.

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job‑related reasons regardless of an applicant’s race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws.

You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.

To request a disability‑related reasonable accommodation to assist you in your job search, application, or interview process, please call us at View phone number on click.appcast.io to discuss your specific need. Only accommodation requests will be accepted by this phone number.

We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.