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- Tasks: Join EA as a Quality Designer, enhancing game quality for The Sims 4 through innovative testing.
- Company: Electronic Arts creates inspiring entertainment experiences that connect players globally.
- Benefits: Enjoy flexible work options, healthcare, mental well-being support, and complimentary games.
- Why this job: Be part of a creative team that values your ideas and fosters continuous learning in AI and gaming.
- Qualifications: Strong analytical skills, passion for AI, and familiarity with game testing concepts are essential.
- Other info: This is an entry-level, full-time role in a dynamic and inclusive environment.
The predicted salary is between 28800 - 43200 £ per year.
Overview
Join to apply for the Quality Designer role at Electronic Arts (EA).
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.
Our Quality Verification and Standards (QVS) team is an integral part of our development process, consistently delivering actionable insights that support our game teams to optimize software performance and elevate gameplay. Their dedicated efforts ensure that we deliver cutting-edge entertainment experiences that captivate and inspire players and fans globally.
This Quality Designer I role is focused on ensuring and enhancing game quality for The Sims 4 by leveraging a proactive approach to integrating AI-assisted testing methodologies. The ideal candidate will combine their strong analytical skills with a passion for emerging technologies to execute and design effective test scenarios, critically analyze complex data sets (including those from AI tools), and validate AI-generated findings. With a keen understanding of AI/ML concepts in testing, they will translate insights into actionable QV strategies. This position requires advanced problem-solving for ambiguous issues that AI might miss, a continuous learning mindset for AI and analytics, and the ability to articulate nuanced player-centric feedback. The role involves creatively designing contextual tests that complement AI\’s capabilities and proactively influencing quality throughout the game development lifecycle by applying advanced testing techniques and data insights.
Technical Skills
- Scripting/Debugging Tools & AI-Assisted Testing Acumen: (Intermediate/Advanced) – Some exposure to or willingness to learn basic scripting or in-game debugging tools. Strong interest in test automation principles and a proactive approach to learning and applying AI-powered testing tools, platforms, or AI-assisted test generation techniques. Understanding how to effectively utilize and interpret outputs from such tools.
- Advanced Data Interpretation & AI Output Validation: (Intermediate/Advanced) – Ability to not only read and understand QA metrics but also to critically analyze and interpret complex data sets, including those generated by AI-driven testing or analytics. Capable of validating AI findings, identifying potential biases or anomalies, and translating AI-driven insights into actionable QV strategies.
- Understanding of AI/ML Concepts in Testing: (Basic/Intermediate) – Familiarity with fundamental AI/Machine Learning concepts as they apply to software/game testing (e.g., types of AI testing tools, data requirements for AI, limitations of AI in testing, ethical considerations). Ability to understand how AI tools derive their results.
Soft Skills
- Problem-Solving & Complex Analytical Reasoning: (Intermediate/Advanced) – Ability to analyze complex, ambiguous, or novel issues, including those related to emergent game behaviors or subtle player experience degradations that AI might miss. Capable of identifying root causes in intricate systems and proposing creative, context-aware solutions.
- Adaptability & Continuous Learning Mindset (especially in AI & Analytics): (Advanced) – Quick to adapt to new processes and passionate about proactively learning and mastering new aspects of game quality, with a specific emphasis on evolving QA methodologies, AI in testing, advanced data analytics, and observability tools.
- Qualitative & Player-Centric Feedback Articulation: (Advanced) – Exceptional ability to identify, articulate, and advocate for qualitative aspects of the player experience (e.g., fun factor, intuitive design, emotional impact, narrative coherence) that go beyond simple bug detection and which AI tools may struggle to assess.
- Creative & Contextual Test Design: (Intermediate/Advanced) – Skill in designing innovative and contextual test scenarios that explore the boundaries of game systems, player creativity, and potential for unexpected interactions, complementing AI\’s more systematic approaches. This includes strong exploratory testing skills informed by human intuition.
Experience Levels
- Experience with AI-driven Test Insights (Desirable): (Basic) – Demonstrated experience in working with or interpreting data/insights from AI-enhanced testing tools or analytics platforms is a significant plus.
Domain Knowledge
- The Sims 4 Gameplay, Systems, & Emergent Behavior Acumen: (Intermediate/Advanced) – Strong understanding of core gameplay mechanics, expansion packs, common player experiences, and a keen sense for anticipating, identifying, and testing for complex emergent behaviors and their impact on game stability and player experience within The Sims 4\’s sandbox environment.
- Video Game Development Lifecycle & Proactive Quality Influence: (Intermediate/Advanced) – Familiarity with the stages of game development and the role of QV within it, with an emphasis on proactively identifying opportunities to leverage advanced testing techniques (including AI-assisted methods) and data insights to influence quality earlier in the development cycle.
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.
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Design, Art/Creative, and Information Technology
Industries
- Entertainment Providers
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Quality Designer employer: Electronic Arts (EA)
Contact Detail:
Electronic Arts (EA) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quality Designer
✨Tip Number 1
Familiarise yourself with The Sims 4 gameplay mechanics and systems. Understanding the nuances of player experiences and emergent behaviours will help you articulate valuable insights during interviews.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of how you've tackled complex issues in previous projects. Highlight any experience with AI tools or data analytics to demonstrate your analytical reasoning.
✨Tip Number 3
Stay updated on the latest trends in AI and machine learning, especially as they relate to game testing. This knowledge will not only impress during interviews but also show your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss your creative test design ideas. Think about innovative ways to complement AI testing with human intuition, and be ready to share these concepts in your conversations with the hiring team.
We think you need these skills to ace Quality Designer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Quality Designer role. Emphasise your analytical skills, familiarity with AI/ML concepts, and any experience with game testing or development.
Craft a Compelling Cover Letter: In your cover letter, express your passion for gaming and how it relates to The Sims 4. Discuss your understanding of AI-assisted testing methodologies and how you can contribute to enhancing game quality.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your problem-solving abilities, especially in ambiguous situations. Highlight any experiences where you identified root causes and proposed creative solutions.
Highlight Continuous Learning: Mention any courses, workshops, or self-study you've undertaken related to AI, analytics, or game testing. This shows your adaptability and eagerness to stay updated with evolving QA methodologies.
How to prepare for a job interview at Electronic Arts (EA)
✨Show Your Passion for Gaming
Make sure to express your enthusiasm for games, especially The Sims 4. Share your experiences with the game and how they have shaped your understanding of gameplay mechanics and player experiences.
✨Demonstrate Your Analytical Skills
Prepare to discuss how you approach complex data sets and AI outputs. Be ready to provide examples of how you've validated findings or identified anomalies in past projects, showcasing your analytical reasoning.
✨Highlight Your Adaptability
Discuss your willingness to learn and adapt to new technologies, particularly in AI and analytics. Share instances where you've quickly picked up new skills or methodologies that improved your work.
✨Prepare Creative Test Scenarios
Think of innovative test scenarios that could complement AI testing. Be ready to explain how you would design tests that explore unexpected interactions within the game, demonstrating your creativity and understanding of player-centric feedback.
