Senior Software Engineer - On Device Machine Learning

Electronic Arts builds higher levels of entertainment experiences, inspiring players and fans around the world. Here, everyone is the hero of their own story.

As a Senior Software Engineer with expertise in software optimization for gaming consoles and CPU/GPU architectures, you will join our Machine Learning team. You will report to a Leader of Engine Development and collaborate with both game and central technology engineers and researchers to bring ML models into the hands of our players by deploying them directly into EA's games.

Responsibilities:

• Design end-to-end solutions for running machine learning models on a variety of devices.
• Partner with ML experts across EA to help adopt and scale new models and architectures optimized for on-device performance.
• Integrate ML solutions into our proprietary tools and game runtime environments on consoles, PCs, and mobile devices.

Qualifications:

• 7+ years of hands-on software engineering experience with C++, including expertise in multithreading and low-level/near-hardware optimizations.
• Knowledge of GPU programming.
• Proficient in debugging, profiling, and optimizing real-time software.
• Understand and practice software engineering fundamentals, such as version control, code reviews, documentation, automated testing, coding standards, CI/CD, issue tracking, and Agile.
• BSc or MSc degree in Computer Science, Engineering, Mathematics, or equivalent professional experience.
• Experience collaborating and sharing updates with developers and partners, including remote and asynchronous teams across different time zones.

Benefits:

• Comprehensive benefits package, which may include medical insurance, mental health support, retirement savings, paid time off, family leave, free games, and more.