Staff Engineer, GPU Architect

Samsung•San Jose, CA

About The Position

Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy – the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Come build with us! Role and Responsibilities As a Staff GPU Architect, you will help shape the future of advanced GPU architecture for Samsung’s Exynos chipset. In this mid-to-senior individual contributor role, you will redefine what’s possible in graphics by contributing to architectural strategy and hands-on development of next-generation GPU designs. You bring expertise in GPU pipelines, hardware design, and computer architecture, with a curiosity to deliver high-performance, power-efficient, and scalable GPUs. You are passionate about defining, developing, and implementing new SoC architectures and features for premium mobile and related product platforms. You enjoy learning about end-to-end design and optimization of GPU architectures, balancing performance, power, and area (PPA), while anticipating emerging applications such as ray tracing, AI, and AR/VR. You ensure design excellence by contributing to technical roadmaps, supporting product planning, and help evaluating long-term GPU architecture strategy. You proactively seek cross-functional collaboration with global teams, clearly communicate architecture proposals to diverse audiences, and exercising data-driven decision making to ensure seamless integration of the GPU into the overall system. You take initiatives on moderate-to-complex projects and help advance best practices, methodologies by staying ahead of industry trends and emerging technologies. Our Team The GPU Architect team delivers whole system architecture-level design for Samsung’s current and next-generation mobile GPUs. Our work spans a wide range of disciplines—from early-stage architectural exploration and research in graphics and machine learning, to shaping the GPU innovation roadmap, defining new features, building models, and delivering microarchitecture design and programming. Our Xclipse GPU is the first mobile GPU with ray tracing technology that enables console-level graphics for Samsung Galaxy smartphones. Joining our team means collaborating with talented engineers from diverse technical backgrounds across a global organization. Here you’ll contribute to the roadmap for next-generation technologies, broaden your expertise, and solve impactful challenges in a supportive environment that values collaboration, continuous learning, and growth.

Requirements

6+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 4+ years of experience with a Master’s Degree, or 2+ years of experience with a Ph.D.
6+ years of experience in GPU architecture, design, or development, with a focus on high-performance, low-power designs.
Knowledge of graphics and GPU pipelines, hardware design, and computer architecture.
Knowledge of emerging technologies, such as ray tracing, AI, and machine learning.
Strong analytical and problem-solving skills, with the ability to analyze complex systems and optimize performance, power, and area.
Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment.

Nice To Haves

Experience with CPU, NPU, or other complex processing units, such as ARM, x86, or RISC-V.
Experience in performance modeling, analysis and optimization.

Responsibilities

contributing to architectural strategy
hands-on development of next-generation GPU designs
defining, developing, and implementing new SoC architectures and features for premium mobile and related product platforms
balancing performance, power, and area (PPA), while anticipating emerging applications such as ray tracing, AI, and AR/VR
contributing to technical roadmaps
supporting product planning
evaluating long-term GPU architecture strategy
cross-functional collaboration with global teams
clearly communicate architecture proposals to diverse audiences
exercising data-driven decision making to ensure seamless integration of the GPU into the overall system
advance best practices, methodologies by staying ahead of industry trends and emerging technologies