Samsung Semiconductor's Architecture Research Lab seeks a Senior Staff AI System Architect to bridge AI workloads, system architecture, and hardware design. The role involves developing system-level performance models, driving architecture-level decisions, and proposing next-generation AI system architectures. The position requires onsite presence in San Jose.
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 and identify performance, scalability, and efficiency bottlenecks.
Analyze representative and emerging AI workloads (e.g., LLMs, DLRMs) to derive architecture requirements and trade-offs.
Drive architecture-level design decisions through quantitative modeling, design-space exploration, and performance/power projections.
Perform comparative studies of alternative system architectures, reporting performance and performance-per-watt metrics.
Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering.
Communicate architectural insights and recommendations through clear technical presentations and documentation.
Requirements
Ph.D. in Computer Science, Electrical Engineering, or related field with 5+ years of experience in system architecture for large-scale computing platforms with a strong focus on AI workloads.
Established in 1974 as a subsidiary of Samsung Electronics, Samsung Semiconductor is a global leader in the semiconductor industry. It provides a wide range of innovative semiconductor solutions, including memory, system logic, and foundry services, to support sectors like mobile, automotive, data centers, and IoT.