AI System Engineer, Sr. Staff

• We are seeking passionate, self-motivated, and creative engineers to join our AI Memory Solution team, covering AI HW/SW co-design research, system modeling, and performance analysis of next-generation AI memory and storage system architecture. We are responsible for delivering cutting-edge, custom SoC/memory interface design for memory and storage applications that can perform complex, high-performance, and low power computation most efficiently.
• As a AI system engineer with a focus on solution hardware development, you will be responsible for designing, developing, and optimizing hardware architecture for our next-generation AI memory solutions. You will work closely with our system software and hardware teams to ensure seamless integration and optimal performance of our energy-efficient AI computing platform.

• →Design and develop next-generation memory solution architecture and hardware prototypes for energy-efficient AI/ML computing infrastructure.
• →Responsible for logic design/Register-Transfer Level (RTL) entry, design quality (LINT, CDC, RDC, power, etc.), and timing closure of high-performance digital Intellectual Property (IP)
• →Collaborate with system software engineers to ensure HW/SW co-optimization.
• →Deliver memory subsystem and IP designs, including microarchitecture specification, RTL logic design, verification, and FPGA prototypes
• →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

• Ph.D in Electrical and Computer Engineering or MS with 4+ years of experience in hardware design, with a focus on SoCs and memory subsystems.
• Proven track record of expertise in digital design, including microarchitecture specification development, system modeling, RTL logic design, synthesis, timing closure and power-performance-area (PPA) analysis.
• Strong working knowledge and experience with FPGA development environment
• 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
• Strong knowledge in AI software optimization techniques for CPU, GPU, NPU architecture is big 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.