Job Description Summary

GE HealthCare is seeking a Software Engineering Intern to join our Advanced Visualization team. This team develops core services that enable our products to run cutting-edge medical applications. As an intern, you will be part of an Agile Scrum team, contributing to backend feature development, automated testing, verification campaigns, bug fixes, and documentation.

Job Description

Roles and Responsibilities
As a Software Engineering Intern, you will:

• Collaborate with a team of experienced engineers and grow your technical expertise.
• Write clean, maintainable code (primarily in Java) that meets project requirements and coding standards.
• Develop and maintain automation tests for acceptance, functional, and regression testing.
• Contribute to manual test creation, execution, and documentation.
• Assist in diagnosing and resolving software bugs.
• Gain familiarity with GE HealthCare’s internal tools and development processes.
• Help maintain high-quality project documentation.
• Follow guidance and mentorship from senior team members.

Qualifications / Requirements

• Ongoing university studies in a STEM field (Science, Technology, Engineering and Math). As this internship requires a minimum 12‑month commitment, a later expected graduation date (e.g., 2027 or beyond) will be considered an advantage.
• Availability to work a minimum of 24 hours per week (up to 40 hours).
• Proficiency in at least one object-oriented programming language (Java is required).
• Basic experience with Linux/Unix environments.
• Strong attention to detail, especially regarding code quality, testability, maintainability, and documentation.
• Residency in Hungary.
• Excellent verbal and written communication skills in English.
• Strong team collaboration skills.
• Interest in healthcare technologies and advanced visualization.
• Willingness to work in a hybrid setup from GE HealthCare’s Váci Greens office (1–2 days/week onsite).

Differentiators:

Knowledge in any of the following areas is a plus:

• GoLang
• Scripting languages (preferably Bash or Python)
• Containerization and orchestration (Docker/Kubernetes)
• Amazon AWS

Additional Information