Software Development Engineer in Test Intern - Undergraduate

Role Summary:

Join the PlayStation App QE team at Sony Interactive Entertainment (SIE) and gain hands-on experience improving the quality and reliability of PlayStation App and Mobile Platform features used by millions of customers.

As a Software Development Engineer in Test Intern, you'll collaborate with QE, developers, product managers, and release teams to support software testing, test automation, and release readiness. You'll also explore how AI can improve quality engineering workflows, reduce manual tasks, and help teams identify and resolve issues more efficiently.

This internship offers practical experience with AI-assisted software testing, automation, and quality engineering tools while developing your technical problem-solving skills and learning how teams deliver reliable software experiences.

What You’ll Be Doing:

• Explore and prototype AI-assisted QE workflows to improve test planning, PR review guidance, failure triage, automation debugging, and release reporting.
• Use AI tools to summarize CI failures, identify flaky test patterns, recommend areas for testing, and improve quality signal visibility.
• Contribute to tools and experiments that use AI to reduce manual QE tasks and improve engineering productivity.
• Evaluate how AI can support automation stability, bug triage, test case recommendations, and quality dashboard insights.
• Collaborate with QE, developers, product managers, and release teams to support functional and regression testing, test automation, and release readiness.
• Explore ways to improve test coverage analysis, failure classification, and release reporting while maintaining human review and quality judgment.
• Gain hands-on experience applying AI-assisted tools to real-world quality engineering challenges and improving software testing workflows.

What We’re Looking For:

• Interest in AI-assisted software testing, developer productivity, automation triage, or quality intelligence.
• Curiosity and willingness to experiment with AI tools and apply them responsibly to quality engineering workflows.
• Ability to think critically about where AI can improve productivity while maintaining human review and quality judgment.
• Exposure to AI/ML concepts, prompt engineering, LLM-based tools, or AI-assisted developer workflows is a plus.
• Experience building scripts, bots, dashboards, or tools that summarize data or improve engineering productivity is beneficial.
• Interest in using AI to improve test coverage analysis, failure classification, test recommendations, or release readiness reporting is a plus.

Eligibility

• Students with expected graduation between May 2026 and December 2029 from an accredited university. Undergraduate
• Able to work during one of the following periods: May 17th - August 6th or June 14th - September 3rd. Relocation assistance is available for eligible candidates.
• Must be available for the entire 12-week internship period.

At this time, SIE will only consider applicants who are authorized to work for any employer in the United States and who will not require work visa sponsorship from SIE now or in the future to maintain their authorization to work in the United States.

Our intern positions offer a fixed hourly pay rate. Please note that the pay rate is exclusive to the internship period and may not reflect what pay may look like following the completion of an internship.

At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.

Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.

Intern Pay Range