AI Memory Solution Architect - San Jose, CA, United States
$155,000 - $255,000 USD yearly
Originally posted 20 January 2026 by the employer.
About the role
As an AI Memory Solution Architect, you will design AI memory and storage architectures and coordinate efforts across hardware and software teams. The work focuses on memory and cache controllers, system interconnects, and energy-efficient AI system infrastructure.
What you'll do
- Perform AI hardware and software system analysis to develop memory and storage solution architecture for AI/ML computing infrastructure, including memory and cache controllers, and system interconnects. - Collaborate with hardware and software architects to execute hardware-software co-design and system integration. - Develop and deliver system-level modeling and simulation environments for AI memory solutions. - Deliver memory subsystems and IP designs spanning microarchitecture specification, RTL logic design, verification, and FPGA prototypes. - Optimize memory system architecture for performance, power efficiency, and scalability. - Author and maintain hardware specifications, technical documentation, and test plans.
What you'll need
- MS in Electrical and Computer Engineering, or a related field, with 8+ years of hardware design experience focused on SoCs and memory subsystems (or Ph.D. with 4+ years). - Strong understanding of computer architecture, memory systems, and hardware design. - Proven expertise in digital design, including microarchitecture specification development, system modeling, RTL logic design, synthesis, timing closure, and power-performance-area (PPA) analysis. - Experience debugging complex system software and hardware issues.
Nice to have
- Working knowledge or experience in simulation frameworks such as QEMU, Gem5, DRAMPower, DRAM, or other open-source simulators. - Familiarity with memory and interface technologies such as DRAM, HBM, NVMe, CXL, and PCIe.
Skills: AI memory solution, computer architecture, hardware/software co-design, memory subsystems, system level modeling
This role has been open 211 days — well above the 88-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
504
|
Median days open
88 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | SK Hynix America | All employers we track in this specialty (504 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 3 | 504 |
| Open roles in the wider Software, Firmware & Systems family | 7 | 6250 · 144 employers |
| Median days open | 211 d | 88 d (+123 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI memory solution, computer architecture, hardware/software co-design, memory subsystems, system level modeling
Who's hiring in this category
- Qualcomm · 104 open roles · median 117 d
- NVIDIA · 88 open roles · median 59 d
- AMD · 33 open roles · median 108 d
- Micron Technology · 26 open roles · median 60 d
- Mobileye · 20 open roles · median 87 d
- Analog Devices · 18 open roles · median 44 d
How we counted: 504 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 26 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.