Staff GPU Memory Architect for Next-Gen SoCs

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

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k)

Onsite lunch

Employee purchase program

Tuition assistance

Paid time off

Relocation assistance

Wellness incentives

Job summary

Samsung is seeking a Staff GPU Memory Architect to define and implement next-generation GPU memory subsystems and on-chip interconnects for Exynos chipsets. You will influence performance, power, and area for premium mobile GPUs and AI workloads.

This senior IC role involves leading studies, collaborating with GPU/CPU/NPU teams, and developing models and roadmaps to guide architecture decisions across multi-disciplinary teams.

Qualifications

• Bachelor’s degree in Computer Science/Engineering, or 6+ years experience in GPU architecture, design, or development.
• 6+ years of GPU architecture, design, or development experience with emphasis on high-performance, low-power designs.
• Knowledge of machine learning or graphics 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; translate requirements into memory-system specs.
• Excellent communication and collaboration skills in a fast-paced, global team.

Responsibilities

• Lead architecture studies and micro-architecture development for GPU memory hierarchies, cache structures, and high-bandwidth memory interfaces.
• Define and champion features for memory and interconnect subsystems, targeting optimal PPA.
• Collaborate with cross-functional teams to ensure seamless integration of memory blocks into the SoC.
• Build and maintain performance-power-area models; run architectural trade-studies for emerging workloads.
• Drive data-driven decision making by producing architectural roadmaps, design specifications, and validation plans.

Skills

GPU architecture

Memory subsystems

Low-power design

PPA optimization

Communication skills

Analytical modeling

Hardware-software co-design

Education

Bachelor's degree in CS/Engineering

Master's degree

Ph.D.

Tools

RTL-level simulation

Job description

Samsung is seeking a Staff GPU Memory Architect to define and implement next-generation GPU memory subsystems and on-chip interconnects for Exynos chipsets. You will influence performance, power, and area for premium mobile GPUs and AI workloads.

This senior IC role involves leading studies, collaborating with GPU/CPU/NPU teams, and developing models and roadmaps to guide architecture decisions across multi-disciplinary teams.