Systems Software Engineer - EA SPORTS™ UFC
Summary
Builds and maintains core game engine/platform systems for EA SPORTS UFC, optimizing performance, stability, and workflows for real-time gameplay and animations.
EA SPORTS is one of the most iconic brands in entertainment - connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.
The EA SPORTS UFC franchise offers the electrifying spectacle and entertainment of MMA for over 20 million players across the globe. It delivers fluid and responsive mixed martial arts through inventive gameplay technology.
Located in Vancouver, British Columbia, the EA SPORTS UFC team is on a mission to become the world's greatest fighting game. If you're passionate about building immersive digital entertainment, this is the role of a lifetime.
As a Systems Software Engineer, you will help us build the engine and platform technology supporting gameplay, animation, rendering, online, front end, and tools. You will solve performance-sensitive problems, own scoped features, and partner with UFC teams.
You will work in a hybrid model, spending three days per week at our EAV Studio in Burnaby, British Columbia, reporting to the Senior Software Engineer.
Responsibilities:
- Build and maintain our shared engine, platform, automation, and release systems.
- Help our teams design and ship features through reusable technical solutions.
- Improve performance, memory use, load times, stability, and workflows.
- Own assigned systems from implementation through testing and delivery.
- Track technical KPIs and collaborate with our franchise and central technology teams.
Qualifications:
- 3+ years of professional software engineering experience.
- Strong C++ skills and experience with large, performance-sensitive codebases.
- Understanding of memory management, multithreading, runtime performance, and platform constraints.
- Experience with game engines or real-time systems.
- Experience delivering systems end to end.
- Experience in utilizing AI-assisted development tools (e.g. coding agents) to rapid prototype, accelerate execution and automate workflows, with the ability to critically review and validate AI-generated code.