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Software Engineer Intern (PhD)

Paid 6-Month Software Engineer PhD Intern (Frostbite Physics) - Electronic Arts, Guildford, UK

We are EA

Electronic Arts Inc. is a global leader in interactive entertainment. We develop and deliver games, content and online services across platforms. We have a broad portfolio of brands that span the most popular genres. We exist to Inspire the World to Play.

We create extraordinary new game experiences for our millions of players everywhere by bringing together talented people that combine creativity, innovation, and passion. Our mission is to attract and grow a more diverse employee base through the cultivation of our early talent pipeline to shape EA's teams, culture and products. We create an overall enriching experience, empowering interns and graduates with the sense that "EA is where I want to be".

The Challenge Ahead:

Frostbite UK based in Electronic Arts Guildford is a growing team that plays a role in providing an outstanding cross-platform physics engine and features that directly inspire creativity in EA’s franchises. Following recent success with franchises such as FIFA, Dragon Age, Need For Speed, Battlefield, we are inviting applications from Ph.D. students to join our team as an Intern.

Responsibilities

We are looking for an accomplished and motivated Software Engineer Ph.D. Intern to join our team and help provide outstanding physics technology on consoles, PC, iOS, and Android.

• You will work on all aspects of software engineering, from design to testing and optimisation, as part of a highly skilled engineering team - a great opportunity to learn.
• You will have the opportunity to engage with game teams and other central technology groups around the globe.

Qualifications

• You are studying towards PhD
• Available to commence a full-time, 6-month paid placement in July 2023.
• Eligible to work in Guildford, UK, without the need for visa/relocation support

Desired Skills

• C++ programming experience in games, physics, graphics, numerical simulations
• Understanding of mechanics, maths, data-driven architectures, and numerical methods