AI System Engineer

SK hynix America

• $155K — $215K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D in Electrical and Computer Engineering or MS with 4+ years of hardware design experience in SoCs and memory subsystems.
  • Expertise in digital design including RTL logic design, synthesis, and Power-Performance-Area (PPA) analysis.
  • Experience in FPGA development environments.
  • Excellent communication and teamwork abilities across cross-functional teams.
  • Familiarity with memory and interface technologies like DRAM, HBM, and PCIe is a plus.
  • Knowledge in AI software optimization techniques for various architectures is a significant advantage.

Responsibilities

  • Design and develop cutting-edge memory solutions for AI/ML systems.
  • Perform RTL entry and ensure design quality and timing closure for digital IP.
  • Collaborate with software engineers for optimal hardware-software integration.
  • Deliver subsystem and IP designs, including microarchitecture and verification.
  • Maintain technical documentation, specifications, and test plans.
  • Engage in technical discussions with industry partners regarding hardware design.
  • Stay updated with trends and advancements in AI and memory systems.

Benefits

  • Top-tier health insurance with no employee cost.
  • Generous paid leave policies including PTO, holidays, and parental leave.
  • 401k matching program.
  • Flexible Spending Account (FSA) for health and dependent care.
  • Educational reimbursement up to $10,000 yearly.
  • Donation matching and volunteering initiatives.
  • Corporate discounts available for employees.
  • Complimentary meals provided throughout the day.
Full Job Description
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

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