Software Engineer

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

We are looking for a Software Engineer with expertise in developing and integrating runtime machine learning solutions to join our team. You will report to a Leader of Engine Development and collaborate with game teams, central technology engineers, and researchers to bring ML models into the hands of our players by deploying them directly within EA games.

Responsibilities:

• Collaborate with game teams and ML experts to understand model architectures, training workflows, and deployment constraints, then recommend improvements that enable efficient real-time in-game inference.
• Extend our existing ML runtime technologies, or build new ones, to run models efficiently across a variety of devices, with clean, well-tested code.
• Translate ML concepts, trade-offs, risks, and technical constraints into clear language for different audiences.
• Stay current with advancements in Deep Learning, Reinforcement Learning, Generative AI, and related fields, identifying relevant research and proposing ways to apply it.
• Contribute to Frostbite's and EA's ML/AI communities by sharing knowledge.

Qualifications:

• 5+ years of hands-on software engineering experience with C++, including a solid understanding of multithreading, memory and performance optimization.
• Familiarity with training models using ML frameworks such as PyTorch or TensorFlow.
• Practical experience with software engineering fundamentals, including version control, code reviews, documentation, automated testing, coding standards, CI/CD, issue tracking, and Agile development.
• A BSc or MSc in Computer Science, Engineering, Mathematics, or equivalent professional experience.

Nice to have:

• Experience building and shipping ML systems in production environments.
• Familiarity with ONNX or other intermediate representations for ML model graphs.
• Experience profiling and optimizing real-time software.
• GPU programming experience, such as writing compute shaders in HLSL or similar languages.
• Experience with game programming or game engine development.

About Electronic Arts

We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

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External careers site, Internal careers site

LinkedInID

3108034