Senior Performance Engineer

Responsibilities

• Build and operate representative AI environments, including agentic workflows, distributed inference systems, disaggregated serving architectures, and MoE deployments
• Collect workload traces, telemetry, and performance data from real-world AI applications
• Characterize workload behavior, develop representative benchmarks, and identify performance bottlenecks across compute, memory, communication, and scheduling resources
• Evaluate AI systems across the full hardware and software stack
• Collaborate with hardware and software teams to drive performance analysis, architecture exploration, and hardware–software co-design for next-generation AI platforms

Requirements

• MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field
• 5+ years of experience in performance engineering, AI systems, distributed systems, or high-performance computing (B.S. level)
• Strong understanding of LLM inference and training systems
• Strong understanding of NVIDIA GPU architecture and performance characteristics
• Hands-on experience profiling and optimizing AI workloads on NVIDIA GPU platforms using tools such as Nsight Systems or Nsight Compute
• Proficiency in Python and C++
• Experience with modern AI frameworks such as PyTorch, vLLM, SGLang, TensorRT-LLM, DeepSpeed, Ray, or Megatron-LM

About the Company

Samsung Semiconductor's AGI Computing Lab is dedicated to solving complex system-level challenges posed by the growing demands of future AI/ML workloads through hardware-software co-design.