AI Memory Solution Architect
- Pay
- $155,000 – $255,000 per year
- Location
- San Jose, CA · On-site
- Job type
- Full-time
- Level
- Director
- Experience
- 8+ years
- Education
- Master's degree
- Listed
- 30 days ago
Skills & highlights for this role
- RTL design
- microarchitecture specification
- PPA analysis
- timing closure
- digital design
Also useful
- QEMU
- Gem5
- DRAMPower
- HBM
- CXL
- PCIe
Stated benefits & perks
- Health
- 401k match
- Pto
Job Summary
- As a 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. Your primary focus will be 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/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.
Qualification
- 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 records 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 various simulation framework 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 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.
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 Memory Solution Architect
- Office Location: San Jose, CA
- Job Type: Full-Time
- Work Model: Onsite
Equal opportunity and legal notices
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)
From SK hynix's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the AI Memory Solution Architect role at SK hynix?
The AI Memory Solution Architect posting at SK hynix states compensation of $155,000 – $255,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on SK hynix's official career site.
Where is the AI Memory Solution Architect job at SK hynix located?
This AI Memory Solution Architect position at SK hynix is located in San Jose, CA (On-site). Always check SK hynix's application page for specific state eligibility or relocation policies.
What qualifications are required for AI Memory Solution Architect at SK hynix?
For the AI Memory Solution Architect role, SK hynix highlights 8+ years of relevant experience; a master's degree; experience with RTL design, microarchitecture specification, PPA analysis, timing closure, digital design. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the AI Memory Solution Architect position at SK hynix?
This listing links directly to SK hynix's Greenhouse application page. You can apply directly on SK hynix's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.