Electronic Arts

Join us for an opportunity to work with the best game development teams in the world. We are looking for an AI Engineer to join the tools development and automation team supporting Bioware, Motive, Cliffhanger, Maxis, Full Circle and Mobile. 

This AI Engineer role in the Quality Engineering organization works with Quality Assurance and Game Development teams to create tools and technical strategies. The goal is to improve automation infrastructure and increasing efficiencies in the Game Development and QA processes. 

You will develop an in-depth understanding of product designs, use EA proprietary tools to create unique automated tests, 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 our Technical Director.

Responsibilities

• Develop AI, automation frameworks, tools, engine components and processes used across studios.

• Use modern software engineering processes and best practices for requirements, design, implementation, and testing.

• You will work with all disciplines to gather requirements, collaborate on solutions, and implement.

• Measurably improve process and best practices to achieve targets across a small team of engineers.

• Design, author, test, and deploy automated tests to cover all test scenarios.

• Interpret requests from your QA and engineering partners, account for and call out any roadblocks or efficiencies your partners may not consider and propose and apply your creative or technical solutions.

Qualifications

• 7+ year experience in a hands-on development role.

• 5+ years of professional development experience with C/C++.

• Experience shipping at least one AAA title with a significant AI contribution.

• Familiarity with advanced game engines.

• Experience working on an agile team to deliver technology.

• Contributor to technical architecture and design documents for small/medium sized features.

• A solid foundation in Computer Science fundamentals, algorithms, design patterns, test-driven development, CI/CD processes, and data structures.

• Bachelor's degree in Computer, Software Engineering, Computer Science Degree or related concentration, equivalent and/or combination of education and work experience.