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Electronic Arts is seeking a talented Experience Designer (UI Artist) to join the EA Sports and Racing team in Kuala Lumpur. This role involves creating exceptional user experiences and UI art for AAA games, focusing on conceptualization, implementation, and maintaining high-quality, aesthetically pleasing user interfaces. The designer will collaborate with code and design teams to drive core UX pillars and ensure consistency, pushing boundaries in game UI development.

Technical Art Director - Tech

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">General Information</h3>Role ID211095Worker TypeRegular EmployeeStudio/DepartmentEA Studios - DCSWork ModelHybrid<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Description & Requirements</h3>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.EA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sport through industry-leading sports video games, including Madden NFL football, FIFA soccer, NHL® hockey, NBA LIVE basketball, and EA SPORTS UFC.We are looking for a talented Experience Designer (UI Artist) to help create amazing user experiences and user interface art within EA Sports and Racing. The ideal candidate should have a keen eye for detail, are great problem solvers and have a passion for implementing AAA User Interfaces. The candidate will be responsible for helping create and drive the core backbone and pillars of a User Experience along with creating aesthetically pleasing User Interfaces that raise the quality bar in Art, UX and Animation for AAA Game Development.The ideal candidate will help lay the foundations of UI conceptualisation and implementation requirements, ensuring consistency and cohesiveness throughout the User Experience. We are pushing the boundaries of the User Interface experience and are not afraid to try new revolutionary things, that we believe will set the standard in game development for years to come!Here's what you'll get to do:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Day-to-day tasks will be working within the Experience Design UI/UX team whilst collaborating with Code and Design to establish and maintain implementation, concepts and documentation</li><li class="leading-relaxed">You will be responsible for implementation requirements and ensuring assets are of shippable AAA quality</li><li class="leading-relaxed">Ensure the highest quality implementation is adhered to within EA Sports and Racing standards. Implementation must be easily read and easily maintained, ensuring good quality of life</li><li class="leading-relaxed">You must be collaborative in your approach and the ability to work closely and communicate with key developers from all disciplines throughout our development process</li></ul>To be considered for this role you will need:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">A keen eye for Graphic Design, Typography, Motion Graphics and Iconography</li><li class="leading-relaxed">Communication, time-management & organisational skills</li><li class="leading-relaxed">Understanding of UI design</li><li class="leading-relaxed">Understanding of implementing exemplary User Interfaces</li><li class="leading-relaxed">Ability to solve problems creatively and effectively</li><li class="leading-relaxed">Up to date with the latest UI design trends</li><li class="leading-relaxed">Proficiency in Photoshop, Illustrator, After Effects and any industry standard UI implementation tools.</li></ul>We can offer you an exceptional benefits package including a competitive salary, annual bonus scheme, enhanced pension plan, private health care and dental plans for you and your family, 10 free games per year and much more!We look forward to hearing from you and how you can make us even better.About Electronic ArtsWe’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.

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Periodic Labs is an AI + physical sciences lab focused on state-of-the-art models for scientific discoveries, well-funded and rapidly growing. The LLM Inference Engineer will integrate, optimize, and operate large-scale inference systems, building and maintaining high-performance serving infrastructure for low-latency, high-throughput access to large language models across thousands of GPUs. This role involves close collaboration with researchers to integrate cutting-edge inference into reinforcement learning workloads, building tools, and supporting frontier-scale experiments to advance AI + science research, including contributions to open-source LLM inference software.

<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About Periodic Labs</h2>We are an AI + physical sciences lab building state of the art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identity and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About the role</h2>You will integrate, optimize, and operate large-scale inference systems to power AI scientific research. You will build and maintain high-performance serving infrastructure that delivers low-latency, high-throughput access to large language models across thousands of GPUs. You will work closely with researchers and engineers to integrate cutting-edge inference into large-scale reinforcement learning workloads. You will build tools and directly support frontier-scale experiments to make Periodic Labs the world’s best AI + science lab. You will make contributions to open-source LLM inference software.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">You might thrive in this role if you have experience with:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Optimizing inference for the largest open-source model</li><li class="leading-relaxed">High-performance model serving frameworks such as TensorRT-LLM, vLLM, SGLang</li><li class="leading-relaxed">Distributed inference techniques (tensor/expert/pipeline parallelism, speculative decoding, KV cache management)</li><li class="leading-relaxed">Optimizing GPU utilization and latency for reinforcement learning</li></ul>

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