Responsibilities

• Design and develop heterogeneous memory architectures for high-performance computing systems, embedded devices, or data center applications.
• Evaluate and select appropriate memory technologies, such as DDR, HBM, GDDR, NVRAM, and emerging non-volatile memory technologies, based on system requirements.
• Define memory subsystem specifications, including capacity, bandwidth, latency, and power requirements, and ensure compliance with industry standards.
• Collaborate with hardware and software teams to optimize memory subsystem performance, including cache coherence, memory hierarchy, and data management.
• Conduct architectural analysis, performance modeling, and simulations to identify bottlenecks and propose design improvements.
• Work closely with vendors and suppliers to assess new memory technologies, evaluate their suitability for specific applications, and negotiate supply agreements.
• Participate in the development of memory controllers, interconnects, and memory management units (MMUs) to ensure efficient memory utilization and data movement.
• Stay up-to-date with the latest advancements in memory technologies, architectures, and industry trends to guide future memory system designs.
• Provide technical guidance and mentorship to junior team members, promoting knowledge sharing and best practices.
• Collaborate with cross-functional teams to define system-level memory requirements, ensuring compatibility with other hardware and software components.

Experience & Qualifications

• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field. A Ph.D. is a plus.
• Strong expertise in computer architecture, memory systems, and memory technologies.
• Proven experience in designing and optimizing heterogeneous memory architectures for complex computing systems.
• Proficiency in hardware description languages (HDLs) and simulation tools (e.g., Verilog, SystemVerilog, ModelSim).
• Solid understanding of memory controller designs, cache coherence protocols, and memory management techniques.
• Familiarity with industry-standard memory interfaces and protocols, such as DDR, HBM, GDDR, and PCIe.
• Experience with memory performance analysis, modeling, and simulation tools (e.g., CACTI, RAMulator, DRAMSim).
• Knowledge of emerging memory technologies (e.g., persistent memory, 3D XPoint, MRAM) and their architectural implications.
• Strong problem-solving skills and the ability to analyze complex system-level issues.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.