Staff Engineer, GPU Memory Architect

Summary 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 powers high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Join us to shape the future of GPU memory systems! Role and Responsibilities As a Staff GPU Memory Architect, you will drive the definition, architecture, and implementation of next‑generation GPU memory subsystems and on‑chip interconnects for Samsung’s Exynos chipset.  In this mid-to-senior individual contributor role, you will directly influence performance, power, and area (PPA) of GPUs used in premium mobile and emerging AI workloads. Lead architecture studies and micro‑architecture development for GPU global memory hierarchies, cache structures, and high‑bandwidth memory interfaces. Define and champion innovative features for next‑generation GPU memory and on‑chip interconnect subsystems, targeting optimal PPA. Collaborate with cross‑functional teams (GPU pipeline, CPU/NPU architects, silicon validation, physical design, software) to ensure seamless integration of memory blocks into the overall system‑on‑chip (SoC). Build and maintain performance‑power‑area models; run architectural trade‑studies for emerging workloads such as ray‑tracing, AI inference, and large‑scale graphics. Drive data‑driven decision making by producing architectural roadmaps, design specifications, and validation plans.

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 machine learning or graphics and GPU pipelines, hardware design, and computer architecture. Proven track record of analyzing and optimizing memory subsystems to improve PPA. Deep knowledge of memory hierarchies (caches, shared memory, SRAM, DRAM), bandwidth‑allocation policies, coherence protocols, and on‑chip interconnect. Strong background in low‑power design techniques and performance‑modeling tools (analytical models, RTL‑level simulation). Experience with emerging GPU workloads such as ray tracing, AI/ML inference, and AR/VR, and ability to translate algorithmic requirements into memory‑system specifications. Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment.

Experience with CPU, NPU, or other complex processing units, such as ARM, x86, or RISC-V. Experience in performance modeling, statistical analysis, and hardware‑software co‑design for AI accelerators.

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. Total Rewards