Job description

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 System Engineer Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite 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: 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. Pay Range $155,000 — $215,000 USD Equal Employment Opportunity: SK hynix America 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. In compliance with federal law, SK hynix America also participates in the federal E-Verify program. Upon accepting an offer of employment, all newly hired individuals will be required to complete Form I-9, which includes verifying identity and legal authorization to work in the United States. Please review the official government posters detailing your rights and protections prior to applying: E-Verify Participation Poster (Bilingual English & Spanish) IER Right to Work Poster (English) IER Right to Work Poster (Spanish)

Requirements

Must-haves

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.
Strong knowledge in AI software optimization techniques for CPU, GPU, NPU architecture is big plus.

Nice-to-haves

Familiarity with memory and interface technologies, such as DRAM, HBM, NVMe, CXL, and PCIe is a plus

Application prep

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Keywords to mirror

aiml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

401k

Paid Time Off

Parental Leave