AI Memory Solution Architect

About SK hynix America

At SK hynix America, we are at the forefront of semiconductor innovation. As a global leader in HBM, DRAM, and NAND flash technologies, we develop the advanced memory solutions powering everything from advanced mobile technology to massive AI data centers. With major investments in the U.S. and a leading position in the global AI revolution, we build the critical infrastructure of the digital landscape and remain committed to sustainable operations. We invite innovative minds to be part of our journey. Here, you will be part of a collaborative team pioneering the next generation of memory technologies, expanding our market footprint, and defining the future of computing.

Work Model: Onsite

Job Title: AI Memory Solution Architect

Office Location: San Jose, CA

Job Type: Full-Time

Work Model: Onsite

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

• Top Tier health insurance at no employee cost
• Paid day offs: Paid Time Off, Company Holidays, Parental Leave, Happy Fridays
• 401k Matching
• Flexible Spending Account (FSA) for Health Care & Dependent Care
• Educational reimbursement up to $10,000 per year
• Donation Matching and volunteering opportunities
• Corporate discount programs
• Free Breakfast/Lunch/Dinner provided to employees

Compensation

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process.