Lead GPU Memory Architect for Next-Gen Memory Systems

Samsung Electronics; San Diego (CA); On-site; USD 151,000 - 252,000; Full time

Job summary

Samsung Electronics America, Inc. seeks a Staff GPU Memory Architect to define the architecture and implementation of next‑generation GPU memory subsystems for Exynos chipsets. You will influence performance, power, and area, and collaborate with multiple teams to integrate memory blocks into the SoC.

You will build models, run trade studies, and develop roadmaps for memory systems supporting ray tracing, AI inference, and graphics workloads in a fast‑paced global team.

Qualifications

• 6+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 4+ years 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.

Responsibilities

• 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.

Skills

GPU architecture

Memory subsystems

Low-power design

Performance modeling

Ray tracing

AI/ML inference

Cross-functional collaboration

Education

Bachelor’s Degree in CS/Engineering

Master’s Degree in CS/Engineering

Ph.D. in related field

Tools

RTL-level simulation

Job description

Samsung Electronics America, Inc. seeks a Staff GPU Memory Architect to define the architecture and implementation of next‑generation GPU memory subsystems for Exynos chipsets. You will influence performance, power, and area, and collaborate with multiple teams to integrate memory blocks into the SoC.

You will build models, run trade studies, and develop roadmaps for memory systems supporting ray tracing, AI inference, and graphics workloads in a fast‑paced global team.