AI System Engineer

Job Title: AI System Engineer 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: 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. Responsibilities: 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 Qualification: 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. Benefits: Top Tier health insurance at no employee cost Paid day offs: PTO + Company Holidays + Happy Fridays Paid Parental Leave Program 401k Matching Educational reimbursement…