Senior software engineer on device machine learning Work, Jobs in Midhurst, Wsx (with Salaries)

Senior Software Engineer - On Device Machine Learning
Electronic Arts —Guildford
- Hybrid work
- Computer Science
- Software troubleshooting
- Engineering
- Annual leave
Senior Data Solutions Engineer
Motion Applied —Woking
- Hybrid work
- English
- AWS
- Bachelor's degree
- Annual leave
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Senior Software Engineer - On Device Machine Learning

Electronic Arts -
Guildford

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Job details

Benefits

Annual leave

Qualifications

CI/CD
Performance tuning
Computer Science
Software troubleshooting
Engineering
Test automation
Mathematics
Master's degree
Bachelor's degree
CI/CD pipelines
Machine learning
Agile
Multidisciplinary collaboration
Debugging

Full job description

General Information

Locations: Guildford, Surrey, United Kingdom

Location: Stockholm
State: Stockholm County
Country: Sweden

Role ID

212350

Worker Type

Regular Employee

Studio/Department

CT - Frostbite

Work Model

Hybrid

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

Senior Software Engineer

Frostbite is EA's proprietary game engine. Its versatile tools and modern technology power creation on some of the world's most iconic games, including titles from EA SPORTS and Battlefield. By joining Frostbite, you'll be at the forefront of game engine development, collaborating with top-tier developers to push the boundaries of interactive realism and immersive gameplay.

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:

You will design end-to-end solutions for running machine learning models on a variety of devices.
You will partner with ML experts across EA to help adopt and scale new models and architectures optimised for on-device performance.
Integrate ML solutions into our proprietary tools and game runtime environments on consoles, PCs, and mobile devices.

Qualifications:

7+ years of hands-on software engineering experience with C++, including expertise in multithreading and low-level/near-hardware optimizations.
Knowledge of GPU programming.
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.
BSc or MSc degree in Computer Science, Engineering, Mathematics, or equivalent professional experience.
Experience collaborating and sharing updates with developers and partners, including remote and asynchronous teams across different time zones.

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

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Senior Software Engineer - On Device Machine Learning

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