AI Memory Solution Architect

Job Title: AI Memory Solution Architect
Office Location: San Jose, CA
Job Type: Full-Time
Work Model: Onsite 
      
About SK hynix America
At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.
We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.

Job Summary:

• As a AI Memory Solution Architect, you will play a pivotal role in designing cutting-edge AI memory and storage solutions. Leveraging your deep understanding of computer architecture, you will lead and coordinate efforts between hardware and software teams. Your primary focus will be on creating optimal architectures and collaborating closely with the performance analysis team to ensure the highest levels of efficiency.
• You will work closely with our system software and hardware design teams to ensure seamless integration and optimal performance of our energy-efficient AI system infrastructure.

Responsibilities:

• Perform AI hardware/software system analysis to develop next-generation AI memory and storage solution architecture for energy-efficient AI/ML computing infrastructure, including memory and cache controllers, and system interconnects
• Collaborate with hardware/software architects to ensure optimal hardware-software co-design and integration
• Develop and deliver system level modeling and simulation environment for next-generation AI memory solutions
• Deliver memory subsystems and IP designs including microarchitecture specification, RTL logic design, verification and FPGA prototypes
• Optimize memory system architecture for performance, power efficiency, and scalability.
• Develop and maintain hardware specifications, technical documentation, and test plans.
• Participate in technical discussions and provide input on hardware system design and architecture with industry ecosystem partners
• Stay up-to-date with industry trends and emerging technologies in AI, memory systems, and hardware architecture.

Qualification:   

• MS in Electrical and Computer Engineering, or related field with 8+ years (or Ph.D. with 4+ years) of experience in hardware design, with a focus on SoCs and memory subsystems.
• Strong understanding of computer architecture, memory systems, and hardware design.
• Proven track records of expertise in digital design including microarchitecture specification development, system modeling, RTL logic design, synthesis, timing closure and power-performance-area (PPA) analysis.
• Good working knowledge or experience in various simulation framework such as QEMU, Gem5, DRAMPower, DRAM and other relevant open source simulators is a plus
• Excellent problem-solving skills, with the ability to debug complex system software issues.
• Strong communication and collaboration skills, with the ability to work with cross-functional teams.
• Familiarity with memory and interface technologies, such as DRAM, HBM, NVMe, CXL and PCIe is a plus

 

Benefits: