AI Memory Solution Architect

SK hynix America; San Jose (CA); On-site; USD 185,000 - 215,000; Full time

Benefits offered by this job

Top-tier health insurance at no employee cost

Paid parental leave program

Educational reimbursement up to $10,000 per year

Free meals provided

Job summary

A leading semiconductor company in San Jose is seeking an AI Memory Solution Architect to design cutting-edge memory and storage solutions. This role involves collaborating with hardware and software teams to ensure efficient architectures. Candidates must have 8+ years of experience in hardware design and a strong understanding of computer architecture. The position offers competitive compensation and a full range of benefits, alongside a commitment to sustainability, making it a dynamic environment for innovation.

Qualifications

• 8+ years of experience in hardware design, focusing on SoCs.
• Strong understanding of computer architecture and memory systems.
• Proven experience in digital design and timing closure.

Responsibilities

• Perform AI hardware/software system analysis for architecture development.
• Collaborate with hardware and software architects for optimal integration.
• Deliver memory subsystems and IP designs.

Skills

Hardware design

Memory systems

Problem-solving

Communication

Education

MS in Electrical and Computer Engineering or related field

Ph.D. in similar fields

Tools

QEMU

Gem5

Job description

AI Memory Solution Architect

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 mobile technology, empower cloud computing, and pioneer 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 pioneers 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.

Job Summary

• As an AI Memory Solution Architect, you will play a pivotal role in designing cutting‑edge AI memory and storage solutions, leveraging your deep understanding of computer architecture. You will lead and coordinate efforts between hardware and software teams, focusing on creating optimal architectures and collaborating closely with the performance analysis team to ensure the highest levels of efficiency.
• You will work closely with our system software and hardware design teams to ensure seamless integration and optimal performance of our 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 hardware and 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, focusing 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 analysis.
• Experience with simulation frameworks such as QEMU, Gem5, DRAMPower, DRAM, and other relevant open source simulators is a plus.
• 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.

Benefits

• Top‑tier health insurance at no employee cost.
• Paid days off: PTO, company holidays and Happy Fridays.
• Paid parental leave program.
• 401(k) matching.
• Educational reimbursement up to $10,000 per year.
• Donation matching and volunteering opportunities.
• Free breakfast, lunch and dinner provided to employees.

Compensation

Pay range: $185,000 – $215,000 USD. Compensation reflects the cost of labor across several U.S. geographic markets and may vary by work location and job‑related skills and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

Equal Employment Opportunity

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.