Compensation Overview

Lab Overview:

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.

Position Summary:

We are looking for an intern to help build models for analysis of new SoC architectures and features for next generation mobile products. An architecture foundation and SoC modelling experience is desired for this intern.

Position Responsibilities:

• Perform performance modeling and analysis of 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 IPs within PPA constraint
• 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
• Working with teams [Application, OS, Driver] to identify, analyze and optimize critical use cases including immersive, camera, AI, Display, Multimedia and gaming applications
• Evaluate architecture proposal performance benefits in collaboration with SoC Architects and communicate the results across related engineering audiences (SW, HW, Architecture, Leadership)

Required Skills:

• Pursuing a Master of Science degree in Electrical/Computer Engineering, or related discipline
• Proficient Python programming including code reading, C/C++ is optional
• Understand neural network and neural network accelerator IP
• Understand the SOCs (System on Chip)
• System-C based performance modeling or some experience with Platform Architect or ModelSim or VisualSim
• Experience creating or integrating simulation models of multi-core SoC subsystems at different levels of abstraction (e.g., cycle-accurate and TLM)