Electronic Arts Is Hiring AI Software Engineer Intern in Hyderabad – Apply Now

Electronic Arts AI Software Engineer internship offers students an opportunity to gain practical experience in software development, test automation, and AI-assisted testing workflows. Electronic Arts (EA) is offering a six-month internship with its Quality Verification organization in Hyderabad, Telangana, India. The position provides exposure to automation frameworks, software testing practices, and collaborative game development environments.

As an AI Software Engineer Intern, you will work with the Quality Engineering team to support game production teams throughout different testing phases. The role involves developing automation scripts, maintaining testing frameworks, participating in code reviews, and exploring practical applications of artificial intelligence for test generation and validation.

Students pursuing a degree in Computer Science with relevant coursework or project experience in test automation, AI/ML, data analysis, API testing, or mobile application testing may find this opportunity relevant. Familiarity with object-oriented programming and scripting languages such as Java, JavaScript, or Python is also required.

This opportunity is suitable for students interested in software engineering, quality assurance automation, and practical AI applications. Knowledge of Git, automated build pipelines, logs, telemetry, and test reporting tools can also support your application. Experience with relational databases and Linux or Ubuntu is an additional advantage.

The selected intern will collaborate with Quality Assurance and software engineering teams to improve testing processes and support game production.

• Collaborate with QA Teams: Work alongside the QA team to support game production teams during different testing phases.

• Maintain Automation Frameworks: Learn and maintain frameworks that support ongoing features and project-specific automation needs.

• Develop Automation Scripts: Design, write, and implement scripts to improve feature coverage and reduce repetitive manual testing.

• Support Automated Testing: Assist with automated testing activities and help improve the reliability of software validation.

• Explore AI-Assisted Workflows: Contribute to practical workflows involving AI-assisted test generation and validation.

• Participate in Code Reviews: Write code, review feedback, and follow software engineering best practices.

• Improve Testing Efficiency: Help teams identify opportunities to make testing more consistent and efficient.

Technical Skills

• Programming Languages: Java, JavaScript, or Python.

• Object-Oriented Programming: Understanding of OOP principles and their application in software development.

• Test Automation: Coursework or project experience with automated testing and automation frameworks.

• AI and Machine Learning: Exposure to AI/ML concepts and applications.

• Data Analysis: Familiarity with analyzing data and interpreting results.

• API Testing: Knowledge of testing APIs and validating responses.

• Mobile Application Testing: Exposure to mobile application testing techniques.

• Version Control: Familiarity with Git.

• Development and Testing Tools: Exposure to automated build pipelines, logs, telemetry, or test reporting tools.

• AI Output Evaluation: Ability to assess AI-generated outputs for correctness, consistency, and practical usefulness.

Preferred Technical Skills

The following are additional advantages mentioned in the job description:

• Experience with relational databases such as MySQL, PostgreSQL, or Oracle.

• Familiarity with Linux or Ubuntu operating systems.

• Analytical thinking and problem-solving.

• Attention to detail when writing and validating automation scripts.

• Ability to collaborate with QA and software engineering teams.

• Willingness to learn new tools, technologies, and workflows.

• Clear communication and openness to feedback.

• Commitment to producing reliable, maintainable code.

Programming and object-oriented design skills will help interns develop and maintain automation scripts. Test automation, API testing, and mobile testing knowledge can support feature validation and improve testing coverage.

AI/ML exposure will help candidates understand AI-assisted test generation and evaluate generated outputs. Git and familiarity with build pipelines will support collaborative development, while database and Linux knowledge can be useful in technical testing environments.

Candidates applying for the Electronic Arts AI Software Engineer Intern position should highlight their relevant academic background and practical technical experience.

• Programming Projects: Include projects built with Java, JavaScript, or Python.

• Automation Experience: Describe scripts, testing frameworks, or projects that automate repetitive tasks.

• AI/ML Projects: Highlight relevant work involving AI, machine learning, data analysis, or AI-generated output evaluation.

• API and Mobile Testing: Mention coursework or projects involving API validation or mobile application testing.

• Development Tools: Include experience with Git, build pipelines, logs, telemetry, and test reporting tools.

• Database Skills: List MySQL, PostgreSQL, or Oracle experience where applicable.

• Linux Knowledge: Mention practical experience with Linux or Ubuntu.

• Project Outcomes: Explain how your work improved test coverage, reduced repetitive effort, or helped validate software.

• Portfolio Links: Include GitHub repositories or project demonstrations when available.

Focus on relevant projects and clearly describe your own contribution. Do not claim professional experience or technical skills you cannot demonstrate.

This internship may appeal to students who want to combine software development with quality engineering and AI-assisted testing.

• Hands-On Development: Write and maintain automation scripts for software testing.

• AI-Assisted Testing: Explore workflows for generating and validating tests with AI.

• Automation Frameworks: Gain experience maintaining testing frameworks.

• Quality Engineering: Collaborate with QA teams supporting game production.

• Software Engineering Practices: Participate in code reviews and learn maintainable coding practices.

• Technical Growth: Apply programming, testing, and analytical skills to practical engineering challenges.

The position is based in Hyderabad, India, and follows a hybrid work model. Candidates should check the official EA careers listing for the latest application status and any additional requirements.

Candidates can use the application link provided below to submit their applications. Review the complete job requirements and application details on the employer’s careers page before applying.

Q1. What is the main focus of this AI Software Engineer Intern position?

The role focuses on software development, test automation, and AI-assisted testing workflows.

Q2. What type of work will the selected candidate handle?

The intern will develop automation scripts, maintain testing frameworks, and support QA teams during game testing.

Q3. What skills are relevant to this position?

Java, JavaScript, Python, object-oriented programming, test automation, AI/ML exposure, Git, and API testing are relevant.

Q4. What should candidates highlight in their resume?

Candidates should highlight relevant programming projects, automation experience, AI-related work, testing knowledge, and development tools.

Q5. How can candidates apply?

Candidates can search for Job ID 215928 on the official EA careers website and submit an application.