Software Engineer - On Device Machine Learning

We are seeking a skilled Software Engineer with expertise in developing and integrating runtime machine learning solutions to join our team. As a Software Engineer, you will report to a Leader of Engine Development and collaborate with game teams, central technology engineers, and researchers to deploy ML models directly within EA games.

Responsibilities:

• Evaluate, adapt, extend, and improve existing machine learning runtime technologies, and design and implement new solutions as 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 various 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.
• 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++.
• Understanding of multithreading and performance optimisation.
• 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.

Benefits:

• Competitive salary
• Comprehensive benefits package, including physical, emotional, financial, professional, and community well-being initiatives
• Opportunities for career growth and development
• Collaborative and dynamic work environment