Electronic Arts

At BioWare, our mission is to create worlds of adventure, conflict, and companionship that inspire you to become the hero of your story.  Our teams inspire creativity using tech and tools and work with thousands of developers across EA’s network of studios.  We are passionate about games and their potential as a creative medium to reach and inspire people through emotion, artistry, and engaging storytelling. If you share this passion, this is an amazing opportunity to help shape the next generation of gaming.

We’re looking for a Software Engineer Co-op to join our paid world-class internship experience. The start date for this opportunity is May 2025 (4-month term), you may be eligible for course credit depending on your institution. You will report to the Associate Technical Director.  For more information about our Next-Gen Program, visit https://www.ea.com/careers/interns-and-university-graduates

You will work within EA’s BioWare Quality Verification Engineering organization. This work will focus on the AI and Machine Learning domain and will be the foundation for our next generation of tools and solutions for driving effectiveness and efficiencies in our QV process.

Responsibilities

• Implement and expand tools, automation, and systems needed to support quality game development.

• Help with the research and development of AI and machine learning participating in the technical evolution of the Quality Automation strategy.

• Develop prototypes and proof-of-concepts, designing processes and creating system flowcharts to illustrate how the solution functions.

• Create detailed documentation of research findings.

• Participate in all aspects of an iterative, agile software development process, including scoping, detailed design, effort estimation, coding, debugging, maintenance and support.

Qualifications

• Currently pursue or recently completed a BS in Computer Science/Engineering or equivalent professional experience.

• Knowledge of Object-Oriented Programming and solid Design Patterns and other engineering best practices i.e. testing, code reviews, documentation.

• Experience with AI frameworks such as TensorFlow or PyTorch.

• Understanding of AI and computer vision principles, including machine learning, large language models (LLM), image processing.

• Proficiency in programming languages such as C#/.NET, Python, C++

• Ability to work in a collaborative team environment and communicate complex technical concepts to non-technical teams.

• Experience with Unreal Game Engine an asset 

• Experience with Unreal Blueprint an asset

• Experience with cloud native and container infrastructure an asset

• Knowledge of Test-driven Development, Code Coverage and other Code Quality practices an asset