A System Architect focusing on advanced memory technology and AI Inference solution infrastructure will lead the definition of system level solutions with emphasis on compute memory bottlenecks, bandwidth and latency management. The job also requires analyzing workload requirements and mapping them to hardware technologies and architecture while optimizing performance, power efficiency, and scalability. Such an architect works at the intersection of chiplet design, SoC, and software co-design. Essential Duties and Responsibilities: Architecture Design and Specifications: focus on system level architecture that is co-optimized with Software Performance and Power Optimization: Developing system level performance and power models with the ability to assist in making customer specific trade-offs Workload Analysis: Mapping AI/ML models to hardware requirements Hardware/Software Co-design: Collaborate with software and hardware teams to ensure seamless integration of memory subsystems, cache hierarchies, and system interconnects Advanced Memory solutions: Explore novel technologies and architectures such as in-memory and near-memory computing, and innovative packaging solutions. Technical leadership: Able to guide design teams, produce technical documentation, IP designs, and clearly articulate and drive key concepts to a broad technical audience.
Required: Master's or Ph.D. in Electrical Engineering, Computer Engineering, or Computer Science 10+ years in System Architecture, SoC Design, and memory system development. Deep knowledge of various memory technologies including DRAM, DDR, LPDDR, GDDR, NAND An good understanding of AI accelerators, GPU, and Neural Processing Engines Proficiency in C/C++, Python, RTL design, and system-level modeling Strong working knowledge of various interconnect technologies including PCIe, CXL, NoCs, ethernet, RDMA Excellent communication skills, demonstrated ability to influence key stakeholders, and mentorship capabilities.
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