Software Engineer - On Device Machine Learning
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.
Frostbite is EA's proprietary game engine. Its versatile tools and the latest technology power creation on some of the world's most iconic games, including titles from EA SPORTS and Battlefield.
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:
Evaluate, adapt, extend, and improve existing machine learning runtime technologies, while designing and implementing new solutions from the ground up when needed.
Partner with ML experts across EA to assess, apply, and scale models and architectures for on-device performance.
Translate ML concepts, tradeoffs, risks, and technical constraints into clear language for different audiences.
Build end-to-end solutions for running machine learning models across a variety of devices.
Write clean, well-documented, and well-tested code that integrates smoothly with existing systems.
Stay current with advancements in Deep Learning, Reinforcement Learning, Generative AI, and related fields by exploring industry developments, identifying relevant research, and proposing ways to apply it.
Contribute to Frostbite's and EA's ML/AI communities by sharing knowledge, collaborating with partners, and mentoring teammates.
Qualifications:
5+ years of hands-on software engineering experience with C++, including a understanding of multithreading and performance optimization.
Experience profiling and optimising real-time software.
Practical experience with software engineering fundamentals, including version control, code reviews, documentation, automated testing, coding standards, CI/CD, issue tracking, and Agile development.
Knowledge of ML frameworks such as PyTorch or TensorFlow.
Experience building and shipping end-to-end ML systems in real-world production environments.
A BSc or MSc in Computer Science, Engineering, Mathematics, or equivalent professional experience.
Knowledge of GPU programming.
Experience with game programming.
Knowledge of ONNX or other intermediate representations for ML model graphs..
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.