Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Innovate and deploy machine learning models in gaming, optimising software for consoles.
- Company: Leading gaming company known for cutting-edge technology and creativity.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a passionate team and shape the future of gaming with AI.
- Qualifications: 7+ years in C++ and experience in software optimisation for gaming.
- Other info: Collaborative environment with top developers and exciting projects.
The predicted salary is between 48000 - 72000 £ per year.
A leading gaming company is seeking a Senior Software Engineer to join their Machine Learning team in Guildford, UK. This role requires a solid background in C++ with over 7 years of experience, particularly in software optimization for gaming consoles. You will work closely with engineers to innovate and deploy machine learning models directly into games. This position offers the opportunity to contribute to cutting-edge technology and collaborate with top developers in the industry.
Senior Engine Software Engineer - On-Device ML (GPU/CPU) in Guildford employer: Electronic Arts (EA)
Contact Detail:
Electronic Arts (EA) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engine Software Engineer - On-Device ML (GPU/CPU) in Guildford
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or through gaming forums. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your C++ projects, especially those related to gaming or machine learning. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common technical interview questions related to software optimisation and machine learning. We can even do mock interviews with friends to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Engine Software Engineer - On-Device ML (GPU/CPU) in Guildford
Some tips for your application 🫡
Show Off Your C++ Skills: Make sure to highlight your extensive experience with C++. We want to see how you've optimised software for gaming consoles in your previous roles, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects where you’ve worked on machine learning models or gaming technologies. This shows us you’re genuinely interested and have the right experience.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our Machine Learning team!
How to prepare for a job interview at Electronic Arts (EA)
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss your past projects and how you've optimised software for gaming consoles. They’ll likely ask technical questions, so having examples ready will show you’re the real deal.
✨Showcase Your Machine Learning Knowledge
Since this role involves deploying machine learning models into games, be ready to talk about your experience with ML. Discuss any relevant projects or technologies you've worked with, especially those that relate to on-device ML. This will demonstrate your fit for the team.
✨Prepare for Team Collaboration Questions
Collaboration is key in this role, so expect questions about how you work with others. Think of examples where you’ve successfully collaborated with engineers or developers. Highlight your communication skills and how you contribute to a positive team dynamic.
✨Research the Company and Its Games
Familiarise yourself with the company’s games and their use of technology. Being able to discuss specific titles and how they might benefit from machine learning will impress your interviewers. It shows you’re genuinely interested and have done your homework!