Systems Software Engineer - EA SPORTS™ UFC

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 shape and deliver the engine and platform technology supporting gameplay, animation, rendering, online, front end, and tools. You will combine hands-on engineering with technical leadership, own complex initiatives, and help our teams solve performance-sensitive systems challenges.
You will work three days per week at our EAV Studio in Burnaby, British Columbia, as part of our hybrid model, reporting to our Senior Software Engineer.
Responsibilities
  • Guide our teams on platform capabilities, engine behaviour, and system-level tradeoffs.
  • Help us define and deliver engine, platform, automation, and release strategies.
  • Build shared solutions that enable our teams to design and ship scalable features.
  • Improve performance, memory use, load times, stability, and developer workflows.
  • Own systems initiatives from planning through delivery, including risks and technical KPIs.
  • Partner with our franchise and central technology teams to share solutions and best practices.
Qualifications
  • 5+ years of professional software engineering experience with large or performance-sensitive systems.
  • Expertise in C++ and large, complex codebases.
  • Knowledge of memory management, multithreading, runtime performance, and platform constraints.
  • Experience with game engines, real-time systems, tooling, automation, or multi-platform development.
  • Experience delivering complex 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.

See also

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