2026 Intern, GPU Architecture Modeling (Summer/Fall)
About The Position
The Samsung SOC Lab vision provides innovative SoC architecture, bus / memory subsystem, multimedia subsystems and key IP blocks for future Samsung Galaxy products (Smartphones, tablets and future devices). We are defining the high performance SoC architecture development for various Galaxy device lineups. This lab collaborates with Samsung's strategic SoC partners, Samsung MX headquarter team, and key R&D teams around the globe to innovate and reinvent technology that will positively impact millions of people around the world via the Galaxy flagship products. We are looking for an intern to help build GPU Architecture models for analysis of new SoC architectures and features for next generation mobile products. An architecture foundation in 3D graphics, GPU, AI and SoC modelling experience is desired for this intern.
Requirements
- Currently pursuing a PhD degree in Electrical/Computer Engineering preferably specializing in computer graphics, or related discipline.
- Proficient with modern Graphics processor architecture, 3D rendering pipelines & optimization and modern graphics APIs (OpenGL, Vulkan, DirectX etc).
- Good Understanding of mapping AI models on GPU HW.
- Proficient in C/C++ and understanding of architecture model development using SystemC.
- System-C based performance modeling or some experience with Platform Architect.
- Good understanding of GPU & computer architecture.
- Experience creating or integrating simulation models of multi-core SoC subsystems at different levels of abstraction (e.g., cycle-accurate and TLM).
Responsibilities
- Build GPU architectural models in SystemC/platform architect of existing and new GPU architectures.
- Perform performance modeling and analysis of various GPU hardware features, applications, benchmarks, and uses cases.
- Analyze system-level architectural trade-offs (across mapping of workload to CPU, GPU, NPU, ISP, memory subsystems, and system software). Right size GPU blocks within PPA constraints.
- Develop SoC performance models to help evaluate PPA (power, performance, area) targets including CPU, GPU, ISP, NPU – particularly around mobile platforms.
- Leverage Industry standard tools and/or create in house tools to speed up performance evaluation and analysis.
- Work across the organization to analyze workload and decompose, map workload components to IPs to optimize system performance, energy.
- Evaluate architecture proposal performance benefits in collaboration with SoC Architects and communicate the results across related engineering audiences (SW, HW, Architecture, Leadership).
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
