Principal Engineer, AI System Architect (Hardware)
Samsung Semiconductor
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How this pay compares to similar roles
This role pays more than 89% of similar roles. Most pay $172,500–$246,150 — the shaded band above. At the midpoint, this role pays about $285k versus about $209k for comparable roles.
Based on 240 similar postings.
Employer
Samsung Semiconductor is the global semiconductor business unit of Samsung Electronics, designing and manufacturing memory chips, logic semiconductors, and foundry solutions for a broad range of applications.
Samsung Semiconductor currently has 54 open roles on FindRole.
Listed pay typically runs $163,000–$253,000 across 54 roles with salary data.
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At a glance
As a Principal AI System Architect at Samsung’s Architecture Research Lab, you will lead research teams in Korea and drive technical direction for next-generation AI system architectures. Your primary responsibilities include developing performance models for multi-rack scale memory-centric systems, researching dynamic scheduling methodologies to maximize AI inference performance, and investigating methods to accelerate search operations using compute-capable memory. You will also propose software designs for implementing optimization algorithms on open-source platforms like vLLM. The ideal candidate has a PhD in Computer Science with over 10 years of experience in AI Serving Frameworks, extensive knowledge of PyTorch, Python, and C++, and expertise in profiling and optimizing AI inference systems. This role requires a deep understanding of compute, memory, and networking bottlenecks in large-scale AI systems, as well as strong collaboration skills to tackle complex challenges in the rapidly evolving field of AI hardware and software integration.
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