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For Companies 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, healthcare, remote work, and opportunities for growth.
- 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 an impact on iconic games.
- Qualifications: 7+ years in software engineering with C++, plus GPU programming skills.
The predicted salary is between 60000 - 80000 £ 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 team where everyone makes play happen. 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. By joining Frostbite, you'll be at the forefront of game engine innovation, 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
- 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.
We value adaptability, resilience, creativity, and curiosity. We empower you to do great work and pursue opportunities for growth. 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.
Senior Software Engineer - On Device Machine Learning in England 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 England
✨Tip Number 1
Network like a pro! Reach out to current or former EA employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Machine Learning team. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and gaming. Include code samples, documentation, and any relevant achievements. This will help us see your expertise in action!
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ skills and understanding GPU programming. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at EA. Don’t miss out on this opportunity!
We think you need these skills to ace Senior Software Engineer - On Device Machine Learning in England
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Software Engineer role. Highlight your experience with C++, multithreading, and any relevant machine learning projects. We want to see how your skills align with what we're looking for!
Show Off Your Projects: Include links to your GitHub or any other portfolio showcasing your work. If you've built or optimised ML systems, let us know! We love seeing real-world applications of your skills.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. We appreciate well-structured applications that are easy to read and understand.
Apply Through Our Website: Don't forget to submit your application through our official website. It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
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 skills, as well as any experience with GPU programming. This will show that you're not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your ML Knowledge
Since this role involves machine learning, be prepared to talk about your experience with ML frameworks like PyTorch or TensorFlow. Bring examples of how you've integrated ML solutions into software before, and discuss any challenges you faced and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Collaboration is Key
EA values teamwork, so highlight your experience working with remote teams and across different time zones. Share specific examples of how you've collaborated with others, mentored teammates, or contributed to a community. This will show that you can thrive in their collaborative environment.
✨Stay Current and Curious
Keep up with the latest advancements in deep learning and AI. Mention any conferences you've attended or online courses you've taken recently. Showing that you're committed to continuous learning will resonate well with EA's culture of creativity and innovation.