At a Glance
- Tasks: Design and optimise machine learning models for gaming consoles and devices.
- Company: Join Electronic Arts, a leader in next-level entertainment experiences.
- Benefits: Enjoy competitive pay, health support, remote work options, and career growth opportunities.
- Other info: Collaborative environment with a focus on creativity and continuous learning.
- Why this job: Be at the forefront of game engine innovation and make a real impact.
- Qualifications: 7+ years in software engineering with C++, plus experience in ML frameworks.
The predicted salary is between 30000 - 50000 £ per year.
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. A place where creativity thrives, new perspectives are invited, and ideas matter. Frostbite is EA's proprietary game engine, powering creation on some of the world's most iconic games, including titles from EA SPORTS and Battlefield.
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 will 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:
- Design, build, and maintain robust end-to-end solutions for running machine learning models efficiently on a variety of devices.
- Partner with ML experts across EA to help adopt and scale new models and architectures optimized for on-device performance.
- Integrate ML solutions into our proprietary tools and game runtime environments on consoles, PCs, and mobile devices.
- Write clean, well-documented, and well-tested code that integrates smoothly with existing systems.
- Keep up to date with the latest advancements in Deep Learning, Reinforcement Learning, Generative AI, and related fields, through continuous learning and by attending internal and external conferences.
- Be an enthusiastic contributor to Frostbite's and EA's ML/AI communities - sharing your knowledge, collaborating with partners, and mentoring teammates along the way.
Qualifications:
- 7+ years of hands-on software engineering experience with C++, including expertise in multithreading and low-level/near-hardware optimizations.
- Good knowledge of GPU programming.
- Proficient in debugging, profiling, and optimizing real-time software.
- Solid understanding 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.
Nice To Have:
- Experience with implementing software tools to optimize code.
- Knowledge of ML frameworks such as PyTorch or TensorFlow.
- Knowledge of the ONNX format.
- Experience building, debugging, and shipping end-to-end ML systems in real-world production environments.
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. 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.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, colour, 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.
Senior Software Engineer - On Device Machine Learning in London employer: Frostbite
Contact Detail:
Frostbite Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer - On Device Machine Learning in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at EA or in similar roles. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C++ and machine learning. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of GPU programming. Practice common algorithms and data structures, and be ready to discuss your past experiences in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the EA community.
We think you need these skills to ace Senior Software Engineer - On Device Machine Learning in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in C++, GPU programming, and any relevant machine learning projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for the role. Share your passion for gaming and machine learning, and don’t forget to mention any experience with EA's technologies or similar projects. Let your personality shine through!
Showcase Your Projects: If you've worked on any notable projects, especially those involving ML or game development, make sure to include them. We love seeing real-world applications of your skills, so link to your GitHub or portfolio if you have one!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our community at EA!
How to prepare for a job interview at Frostbite
✨Know Your Tech Inside Out
Make sure you brush up on your C++ skills, especially around multithreading and low-level optimisations. Be ready to discuss specific projects where you've implemented these techniques, as well as any experience with GPU programming.
✨Showcase Your ML Knowledge
Familiarise yourself with the latest advancements in machine learning, particularly in Deep Learning and Reinforcement Learning. Be prepared to talk about any ML frameworks you've used, like PyTorch or TensorFlow, and how you've integrated them into real-world applications.
✨Collaboration is Key
Electronic Arts values teamwork, so be ready to share examples of how you've collaborated with remote teams across different time zones. Highlight your communication skills and any experience you have mentoring others or contributing to community knowledge.
✨Prepare for Problem-Solving Questions
Expect technical questions that test your debugging and optimisation skills. Practice coding challenges that focus on real-time software issues, and be ready to explain your thought process clearly and concisely during the interview.