Summer Intern: AI‑Driven System Test Automation

Philips International; San Diego (CA); On-site; USD 40,000 - 63,000; Part time

Benefits offered by this job

Paid internship

Job summary

Philips in San Diego, CA invites undergraduates and graduates to apply for a 3–6 month, paid System Test Automation Engineer Intern opportunity. You will gain hands-on experience in medical device software testing, test automation, AI-driven V&V technologies, and system integration at a leading HealthTech company.

The role involves designing automation frameworks, developing AI-assisted testing approaches, and maintaining test environments while collaborating with software, hardware, and systems

Qualifications

• Pursuing BS and/or MS in a technical field (CS, SWE, CE, EE).
• Interest in software quality, test automation, and medical device development.
• Strong problem solving and collaboration skills.

Responsibilities

• Design, develop, and enhance automated test frameworks and tools.
• Support AI-driven testing and V&V technologies for system tests.
• Develop automation scripts using modern languages and frameworks.
• Automate system integration and verification procedures for efficiency.
• Execute tests, analyze results, identify issues, and suggest improvements.
• Troubleshoot software/hardware/integration issues with cross-functional teams.
• Maintain test environments including software, hardware, and networking.
• Create dry-run tests, assist test case development, and report findings.

Education

3+ years of study toward CS/SE/CE/EE degree

Tools

C#

.NET

Azure

TypeScript

Python

FastAPI

Java

JavaScript

Go

React

Git

Azure DevOps

Job description

Philips in San Diego, CA invites undergraduates and graduates to apply for a 3–6 month, paid System Test Automation Engineer Intern opportunity. You will gain hands-on experience in medical device software testing, test automation, AI-driven V&V technologies, and system integration at a leading HealthTech company.

The role involves designing automation frameworks, developing AI-assisted testing approaches, and maintaining test environments while collaborating with software, hardware, and systems