AI Memory Solution Architect, Principal Engineer

SK hynix America; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

A leading semiconductor company is hiring an AI Memory Solution Architect in San Jose, CA, to design innovative AI memory and storage solutions. The role involves collaboration across teams for optimal hardware-software integration and requires significant experience in hardware design and memory systems. The salary range is $180,000 to $240,000 annually, with a full-time onsite work model.

Qualifications

• 8+ years experience in hardware design focused on SoCs and memory subsystems.
• Strong understanding of computer architecture and memory systems.
• Proven track record in digital design including microarchitecture specification.

Responsibilities

• Perform AI system analysis to develop next-gen memory and storage architecture.
• Collaborate with software architects for hardware-software integration.
• Develop system-level modeling and simulation for AI memory solutions.

Skills

Hardware design

Memory systems

Digital design

Problem-solving

Communication skills

Education

MS in Electrical and Computer Engineering

Ph.D. in related field

Tools

QEMU

Gem5

DRAMPower

DRAMSim

Job description

Overview

AI Memory Solution Architect, Principal Engineer role at SK hynix America

Office Location: San Jose, CA

Job Type: Full-Time

Work Model: Onsite

Base pay range

$180,000.00/yr - $240,000.00/yr

Job Title: AI Memory Solution, Principal Engineer

About SK Hynix America

At SK hynix America, we are at the forefront of semiconductor innovation, developing advanced memory solutions that power devices from smartphones to data centers. We drive the evolution of memory and related technologies and invest in AI, machine learning, and eco-friendly solutions.

Job Summary

• As an AI Memory Solution Architect, you will design cutting-edge AI memory and storage solutions, leading hardware-software coordination and collaborating with performance analysis to ensure high efficiency.
• Collaborate with system software and hardware design teams to ensure seamless integration and optimal performance of energy-efficient AI system infrastructure.

Responsibilities

• Perform AI hardware/software system analysis to develop next-generation AI memory and storage solution architecture for energy-efficient AI/ML computing infrastructure, including memory and cache controllers, and system interconnects
• Collaborate with system software architects to ensure optimal hardware-software co-design and integration
• Develop and deliver system-level modeling and simulation environment for next-generation AI memory solutions
• Deliver memory subsystems and IP designs, including microarchitecture specification, RTL logic design, verification, and FPGA prototypes
• Optimize memory system architecture for performance, power efficiency, and scalability
• 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

Qualifications

• MS in Electrical and Computer Engineering, or related field, with 8+ years (or Ph.D. with 4+ years) of experience in hardware design, with a focus on SoCs and memory subsystems
• Strong understanding of computer architecture, memory systems, and hardware design
• 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
• Good working knowledge or experience in simulation frameworks such as QEMU, Gem5, DRAMPower, DRAMSim and other relevant open source simulators
• Excellent problem-solving skills, with the ability to debug complex system software issues
• 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

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.

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

$180,000 - $240,000 USD

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Semiconductor Manufacturing