ML-Driven Game Engine Engineer (Hybrid, UK)

Electronic Arts; Guildford; Hybride; GBP 65 000 - 90 000; Plein temps

Résumé du poste

Electronic Arts invites a Software Engineer to advance runtime ML solutions within Frostbite, EA's engine. You will collaborate with researchers and game teams to deploy ML models into EA titles, enabling on-device performance.

The role emphasizes writing clean, well-tested code, profiling real-time systems, and staying current with DL, RL, Generative AI. Hybrid work and cross-disciplinary collaboration are key to success.

Qualifications

• 5+ years of hands-on software engineering experience with C++, including multithreading and performance optimization.
• Experience profiling and optimising real‑time software.
• Familiar with version control, CI/CD, automated testing, code reviews, and documentation.
• Knowledge of ML frameworks such as PyTorch or TensorFlow.
• Experience building and shipping end-to-end ML systems in production.
• Knowledge of GPU programming and game programming.

Responsabilités

• Evaluate, adapt, extend, and improve existing machine learning runtime technologies.
• Partner with ML experts to assess, apply, and scale models 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 devices.
• Write clean, well-documented, and well-tested code that integrates with existing systems.
• Stay current with developments in Deep Learning, RL, Generative AI, and related fields.

Connaissances

C++

Multithreading

Performance optimization

Real-time software profiling

On-device ML

Formation

BSc or MSc in Computer Science/Engineering/Mathematics

Outils

PyTorch

TensorFlow

ONNX

Description du poste

Electronic Arts invites a Software Engineer to advance runtime ML solutions within Frostbite, EA's engine. You will collaborate with researchers and game teams to deploy ML models into EA titles, enabling on-device performance.

The role emphasizes writing clean, well-tested code, profiling real-time systems, and staying current with DL, RL, Generative AI. Hybrid work and cross-disciplinary collaboration are key to success.