Principal Engineer, AI System Architect (Hardware)

Responsibilities

• Technically lead the architecture team and shape system-architecture strategy
• Conduct system-level architectural research for next-generation AI systems including compute, memory, and interconnect subsystems
• Develop and maintain analytical and simulation-based system modeling frameworks
• Analyze emerging AI workloads like LLMs and DLRMs to derive architecture requirements
• 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 preferred
• 15+ 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
• Strong knowledge of LLMs, DLRMs, and large-scale training/inference systems
• Proficiency in Python, C++, and PyTorch
• Excellent technical communication and presentation skills

About the Company

Samsung Semiconductor's Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, leveraging world-class memory technologies to define next-generation AI system architectures.