Senior C++/GPU Engineer — On-Device ML

Electronic Arts Ltd; Guildford; On-site; GBP 90,000 - 120,000; Full time

Job summary

Electronic Arts Ltd. is seeking a Senior Software Engineer to optimize software for gaming consoles and CPU/GPU architectures. You will join the Machine Learning team and collaborate with game and central technology engineers and researchers to bring ML models into EA's games.

In this role, you will design end-to-end solutions for running ML models on various devices, speed up inference, and integrate ML workflows into proprietary tools and runtimes, impacting the player experience directly.

Qualifications

• 7+ years of hands-on software engineering experience with C++, including multithreading and low-level optimisations.
• GPU programming experience with high-performance compute shaders in HLSL or equivalent.
• Proficient in debugging, profiling, and optimising real-time software.
• Knowledge of software engineering fundamentals: version control, code reviews, documentation, automated testing, CI/CD, and Agile.
• Experience collaborating with remote teams across time zones.
• Degree: BSc or MSc in CS/Engineering/Maths, or equivalent experience.

Responsibilities

• Design end-to-end solutions for running machine learning models on a variety of devices.
• Speed up inference on CPU and GPU to meet performance targets and minimise impact on real-time gameplay.
• Integrate ML solutions into proprietary tools and game runtimes, and improve workflows for importing, testing, and analysing models.
• Collaborate with ML experts to assess and optimise models and architectures for on-device performance.

Skills

C++

Multithreading

GPU Programming

Performance Profiling

CI/CD & Agile

Education

BSc/MSc in CS/Engineering/Math

Tools

ONNX Runtime

PyTorch

llama.cpp

Job description

Electronic Arts Ltd. is seeking a Senior Software Engineer to optimize software for gaming consoles and CPU/GPU architectures. You will join the Machine Learning team and collaborate with game and central technology engineers and researchers to bring ML models into EA's games.

In this role, you will design end-to-end solutions for running ML models on various devices, speed up inference, and integrate ML workflows into proprietary tools and runtimes, impacting the player experience directly.