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# AI System Engineer

- **Company:** SK hynix
- **Location:** San Jose, CA, United States
- **Experience:** Experienced
- **Salary:** $155,000.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Logic Synthesis of Circuits, Dynamic Random-Access Memory, Field-Programmable Gate Array (FPGA), Design of User Interfaces, Hardware Design, PCI Express, System Software, Electrical and Computer Engineering, Fpga Hardware, Optimization Algorithms, Nvme
- **Published:** June 24, 2026
- **Apply:** https://www.dice.com/job-detail/212d652c-99f9-42ef-9c3d-2e296517596b

## About the Role

* 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.

## Description

* 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


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