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Electronic Arts

Software Engineer - On Device Machine Learning

Electronic Arts
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hybrid senior full-time Guildford, Surrey

First indexed 18 Sept 2026

Description

Electronic Arts is seeking a Software Engineer with expertise in developing and integrating runtime machine learning solutions to join its team. The successful candidate 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, designing and implementing new solutions when needed.
  • Partner with ML experts to assess, apply, and scale models and architectures for on-device performance.
  • Translate ML concepts into clear language for different audiences.
  • Build end-to-end solutions for running machine learning models across various devices.
  • Write clean, well-documented, and 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 and mentoring teammates.

Qualifications:

  • 5+ years of hands-on software engineering experience with C++.
  • Understanding of multithreading and performance optimization.
  • Experience profiling and optimizing real-time software.
  • Practical experience with software engineering fundamentals.
  • 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 and game programming.
  • Familiarity with ONNX or other intermediate representations for ML model graphs.

Benefits:

  • Comprehensive benefit packages, including physical, emotional, financial, professional, and community well-being support.
  • Customized packages to meet local needs, potentially including medical assistance, mental health support, retirement savings, paid time off, family leave, free games, and more.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://jobs.ea.com/ro_RO/careers/JobDetail/Software-Engineer-On-Device-Machine-Learning/216019