Staff Engineer, AI System Architect (Hardware)

Responsibilities

• Conduct system-level architectural research for next-generation AI systems, spanning compute, memory, and interconnect/network subsystems
• Develop and maintain analytical and simulation-based system modeling frameworks to evaluate AI workloads
• Analyze emerging AI workloads like LLMs and DLRMs to derive architecture requirements and trade-offs
• Drive architecture-level design decisions through quantitative modeling and design-space exploration
• Perform comparative studies of alternative system architectures and report performance metrics
• Collaborate with cross-functional teams in hardware architecture, memory, and system engineering

Requirements

• Ph.D. in Computer Science, Electrical Engineering, or a related field
• 5+ years of experience in system architecture for large-scale computing platforms
• Hands-on experience developing analytical and event-driven simulation models
• Deep understanding of AI system hardware architectures, memory hierarchies, and high-performance interconnects
• Proficiency in Python, C++, and PyTorch
• Strong knowledge of LLMs, DLRMs, and large-scale training/inference systems

About the Company

Samsung Semiconductor's Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity, bandwidth, and system-scale communication.