Principal Engineer, AI System Architect (Hardware)
The Architecture Research Lab (ARL) at Samsung Semiconductor is seeking a Principal Engineer, AI System Architect (Hardware) to lead the development of next-generation AI system architectures. This role involves addressing system-level bottlenecks in modern AI, particularly in memory capacity, bandwidth, and system-scale communication, by leveraging Samsung's advanced memory technologies.
The Principal Engineer will conduct system-level architectural research for future AI systems, encompassing compute, memory, and interconnect/network subsystems. Responsibilities include developing and maintaining analytical and simulation-based system modeling frameworks to evaluate AI workloads, identifying performance, scalability, and efficiency bottlenecks at rack- and system-scale, and driving architecture-level design decisions through quantitative modeling and design-space exploration.
Candidates should possess a Ph.D. in Computer Science, Electrical Engineering, or a related field, with over 15 years of experience in system architecture for large-scale computing platforms, focusing on AI workloads. Required skills include hands-on experience in developing analytical and event-driven simulation models for system-level performance evaluation, deep understanding of AI system hardware architectures, and proficiency in Python, C++, and PyTorch for modeling and analysis.
The position offers a competitive salary range of $219,000 to $351,000 annually, along with a comprehensive benefits package that includes medical, dental, vision, and 401(k) plans. Additional perks encompass over four weeks of paid time off per year, stipends for fertility care or adoption, medical travel support, and access to onsite facilities such as a café and gym.
Samsung Semiconductor fosters an inclusive culture and diverse workforce, dedicated to empowering employees to be their true selves. The company emphasizes innovation and growth, providing opportunities to work on cutting-edge technologies that power everyday tools, including smartphones, electric vehicles, and hyperscale data centers.