Senior Software Engineer (Low-Level ML Optimization)

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.