AI Memory Solution Architect

• 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.

• →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.

• 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

SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.