Senior Software Engineer (Low-Level ML Optimization)

General Information

Locations: Guildford, Surrey, United Kingdom

• Location: Stockholm
• State: Stockholm County
• Country: Sweden

Role ID

212350

Worker Type

Regular Employee

Studio/Department

CT - Frostbite

Work Model

Hybrid

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 Senior Software Engineer with expertise in software optimization for gaming consoles and CPU/GPU architectures to join our Machine Learning team. You'll 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.
• Speed up inference on CPU and GPU so models run within performance targets and minimize impact on the core real-time game experience.
• Integrate ML solutions into our proprietary tools and game runtimes, and improve the workflows game teams use to import, test, and analyse their models.
• Collaborate with ML experts across EA to assess, apply, and optimize models and architectures for on-device performance.

Qualifications:

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

Nice to have:

• Experience with machine learning inference runtimes or engines, such as ONNX Runtime, llama.cpp, or similar technologies.
• Familiarity with PyTorch, TensorFlow or other similar frameworks.
• Experience owning technical projects end to end and mentoring other engineers.

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.