Senior Staff Engineer, GPU Architect, Machine Learning
Samsung Electronics
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How this pay compares to similar roles
This role pays less than 56% of similar roles. Most pay $177,250–$245,000 — the shaded band above. At the midpoint, this role pays about $201k versus about $211k for comparable roles.
Based on 240 similar postings.
Employer
Samsung Electronics is a South Korean multinational corporation and a global leader in technology, specializing in consumer electronics, semiconductors, and home appliances.
Samsung Electronics currently has 104 open roles on FindRole.
Listed pay typically runs $117,000–$174,500 across 69 roles with salary data.
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At a glance
Staff Engineer, GPU Memory Architect joins the GPU Architect team to drive the definition, architecture, and implementation of next-generation GPU memory subsystems and on-chip interconnects for Exynos chipsets. This role involves leading architectural studies for global memory hierarchies, cache structures, and high-bandwidth memory interfaces while optimizing performance, power, and area for mobile and AI workloads. The candidate will build and maintain performance-power-area models, conduct trade-studies for ray-tracing and AI inference, and develop design specifications and validation plans. Key technical requirements include expertise in GPU architecture, memory hierarchies like SRAM and DRAM, coherence protocols, and low-power design techniques. Necessary skills include proficiency in RTL-level simulation, analytical modeling, and hardware-software co-design. The role addresses the challenge of integrating complex memory blocks into system-on-chip designs to support advanced graphics and machine learning applications.
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