Software Engineer III - EA SPORTS FC

Electronic Arts; Vancouver; Hybrid; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Health insurance

3 weeks vacation

Sick time

Retirement plan

Job summary

Electronic Arts is seeking a senior software engineer to lead reinforcement learning and ML-driven testing initiatives within the FC QVE team in Vancouver. You will design, implement, and scale RL training pipelines using C++/Python, and collaborate with game-area teams to validate AI features.

The role demands 5+ years in game/tool engineering, strong knowledge of C++, Python, and ML frameworks, plus a passion for rigorous testing and quality.

Qualifications

• Bachelor's degree in Computer Science, Mathematics with ML specialization, or related field.
• Familiarity with TensorFlow or PyTorch.

Responsibilities

• Design, implement, and scale RL training pipelines to create capable agents.
• Develop models and algorithms that simulate gameplay and decision-making for testing.
• Stress test internal systems by deploying RL agents to identify edge-case failures.
• Architect internal APIs, CI/CD pipelines, and orchestration workflows for high-capacity experimentation.

Skills

C++

C#

Python

Reinforcement Learning

ML frameworks

Education

Bachelor's degree in CS/Math with ML

Advanced degree (Master's) in a related discipline

Tools

TensorFlow

PyTorch

Job description

Role ID

214252

Worker Type

Regular Employee

Studio/Department

Work Model

Hybrid

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

As a leader in the gaming industry, EA SPORTS is leading transformational changes in game development and player experiences. We foster a collaborative environment where every team member helps shape the future of entertainment through innovation.

The FC QVE team is focusing on revolutionizing game testing by building Gen AI systems and using advanced Machine Learning techniques. We have a versatile team that is responsible for the entire lifecycle of AI/ML models, from initial conceptualization and analysis to their full-scale integration. You will join this team and report to the QVE Technical Director.

Main Responsibilities:

• Design, implement, and scale Reinforcement Learning (RL) training pipelines to create highly capable agents.
• Develop models and algorithms that simulate human-like gameplay and decision-making for rigorous behavioral testing.
• Stress test internal systems and game logic by deploying RL agents to identify security vulnerabilities, exploits, and edge-case failures.

Infrastructure & Pipelines: Architect internal APIs, CI/CD pipelines, and orchestration workflows to ensure high-capacity experimentation and observability.

Collaborative Improvement: Collaborate across the FC franchise with game area teams to develop testing system for AI/ML game features.

Operational Excellence: Boost engineering output by adopting advanced AI-assisted workflows and maintaining rigorous standards for code quality.

Core Requirements:

• You have a Bachelor's degree in Computer Science, Mathematics with ML specialization, or a related technical field, or equivalent experience.
• Familiarity with frameworks such as TensorFlow or PyTorch.

You have at least 5 years in game or tool engineering using C++ or C#.

2+ years of experience in Reinforcement Learning or closely related fields.

Your programming skills are in Python and C++, with intrinsic knowledge of system design and distributed backends.

You have experience with console platforms, game development lifecycles, and testing ML-integrated game features.

Other Qualifications:

Advanced degree (Master's) in a relevant technical discipline.

Demonstrated history of deploying and maintaining ML models within commercial software environments.

Have knowledge and be passionate about the sport of football (soccer).

Pay Transparency - North America

COMPENSATION AND BENEFITS

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES

Pay is just one part of the overall compensation at EA.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.