Principal engineer, AI Serving Framework Architect (Software)

Job Title: Principal engineer, AI Serving Framework Architect (Software)

What You’ll Do

The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Principal AI System Architect who will play a key role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42853

• As a Tech Lead, leading research teams in Korea and proposing technical direction
• Research on dynamic scheduling methodologies for maximizing AI inference performance in multi-rack scale memory-centric systems, comprised of heterogeneous compute-capable memory and hierarchical memory
• Investigating methods to accelerate search operations in RAG’s vector DB and AI Agent’s knowledge-graph by leveraging compute-capable memory
• Studying strategies for optimally placing KVCache and a vector DB in hierarchical memory to minimize frequent SSD accesses and reduce IO stalls
• Proposing SW design for implementing the derived optimization algorithms on open-source platforms such as vLLM

What You Bring

• PhD in Computer Science or a related field with 15+ years of experience in AI Serving Framework for large-scale computing, with focusing on the AI workloads.
• Led a project to build and optimize a Large Language Model (LLM) Inference Software Stack on a multi-rack scale system to deliver AI Inference services to over 100,000 users.
• Extensive experience in designing AI Inference Software Stacks for heterogeneous devices.
• In-depth understanding of the internal architecture and operation mechanisms of inference engines such as vLLM.
• Proficiency in AI Inference System Profiling and optimization.
• Knowledge and practical experience with future AI workloads, including reasoning models, multi-modal solutions, AI agents, and world models.
• Strong understanding of compute, memory, and networking bottlenecks in AI systems.

• Required skillsets: PyTorch, Python, and C++
• A collaborative mindset, curiosity, and resilience in solving complex challenges.
• Excellent verbal, presentation, and written communication skills.
• (Nice to have) Native or fluent Korean speakers are preferred.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build. Understanding. You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
• Innovative and creative, you proactively explore new ideas and adapt quickly to change

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