Gameplay Automation Engineer - American Football

Job Description

*Please note, you are required to have an onsite (hybrid) presence in Orlando, FL*

EA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sport through industry-leading sports video games, including Madden NFL football, EA Sports FC soccer, NHL® hockey, and EA SPORTS UFC.

You will work with central Quality Engineering teams and other Game teams to create tools and technical strategies to improve gameplay automation. You will develop an in-depth understanding of product designs, use EA proprietary tools to create unique automated tests for 3D world exploration and gameplay, form test strategies for implementation of technologies, and will think laterally to identify requirements, roadblocks, or efficiencies that your partners may not consider. You will report to the game team technical leadership.

Your Responsibilities:
• Develop automation frameworks, tools, engine components and processes for multiplayer sports gameplay.
• You will work with all disciplines to gather requirements, collaborate on solutions, and implement.
• Create clear documentation to support workflow processes.
• Design, author, test, and deploy automated tests to cover all test scenarios.
• Interpret requests from your creative and engineering partners

Your Qualifications
• Bachelor's degree in Computer Science or related field, or equivalent training and professional experience.
• 6+ years experience in software development with a C++ focus.
• Experience shipping at least one AAA title with a significant automation contribution.
• Experience with Unreal, Unity or other advanced proprietary game engines.
• Experience developing in and debugging multi-threaded/concurrent architectures.
• Experience working with Microsoft, Sony, or Nintendo game consoles.

Bonus:
• Experience with mobile development (iOS and Android).
• Experience with AI and machine learning.

Jobcode: Reference SBJ-d2j4k6-3-147-86-143-42 in your application.