PLEASE NOTE:

To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.

WHAT YOU’LL DO

The Architecture Research Lab (ARL) is tackling two of the biggest challenges in AI today—memory bandwidth and communication bottlenecks. By leveraging Samsung’s world-leading memory technologies, we are developing next-generation AI systems that break through these limitations while improving developer productivity.

This effort spans:

• Hardware: Memory, networking, compute, and power optimization.
• Software: System software, frameworks, and runtime optimization.
• Application & Performance Modeling: Developing tools to guide architectural decisions.

We are seeking an AI System Architect to help shape the future of AI systems through innovative system-level hardware design, performance modeling, and hardware/software co-design.
Location: Hybrid, working onsite at our San Jose office/headquarters 3 days per week with the flexibility to work remotely the remainder of your time
Job ID: 42536

KEY RESPONSIBILITIES

• Architect next-generation AI systems to address modern AI challenges and achieve state-of-the-art system-level performance
• Provide technical leadership, driving system component direction and selection in the area of the compute, memory and network topologies; analyze bottlenecks and come up with innovative solutions
• Supervise the development and validation of analytical and simulation-based system models to project AI system performance.
• Leverage modeling infrastructure for design space exploration and system-level optimization.
• Collaborate effectively with other HW/SW architects, application experts, and performance modeling experts across sites and time zones

• Occasional domestic and international travel (<10%).

  What You Bring

• PhD in Computer Science, Electrical Engineering, or a related field with 15+ years of experience in system architecture for large-scale computing, with specific AI focus preferred.

• Deep expertise in AI system design, and knowledges in LLMs, DLRMs, and other representative AI workloads.
• Strong understanding of compute, memory, and networking bottlenecks in AI systems.
• Proven experience in AI hardware architecture at both system and component levels.
• Background in hardware/software co-design for AI systems.
• Hands-on experience in developing analytical and event-driven simulation models.
• Experience in ML compilers and runtime optimization preferred.
• Familiarity with AI software stacks and frameworks preferred.
• Strong leadership skills with a track record of setting technical direction and guiding teams.
• Excellent verbal, presentation, and written communication skills.
• A collaborative mindset, curiosity, and resilience in solving complex challenges.

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