Job Description
Job DescriptionPrincipal AI Memory Systems Architect
Job Title: Principal AI Memory Systems Architect
Location: San Jose, CA or Irvine, CA
Compensation: $250K - $300K base plus equity
Requirements: AI Systems Architecture, Memory Hierarchy, CXL, HBM, AI Inference, Computer Architecture, Memory Disaggregation, Processing-in-Memory (PIM), GPU / Accelerator Architecture, ASIC/SoC Architecture
Company Brief
We are a leading provider of high-performance modular memory subsystems and next-generation storage-class memory solutions. We specialize in cutting-edge technologies that enable innovation in AI, cloud computing, and enterprise infrastructure. Our product portfolio includes DDR4/DDR5 DIMMs, NAND-based SSDs, and advanced interconnect technologies such as CXL and PCIe.
Role
This is a senior architecture role for someone who understands how AI workloads translate into memory, bandwidth, latency, compute, interconnect, power, and system-level requirements. The role partners closely with the Chief AI Systems Architect, AI Product Strategist, AI Software Architect, and R&D teams to develop next-generation AI hardware and memory architectures.
We are particularly interested in investigating opportunities involving:
- AI memory hierarchy evolution for larger models and context windows
- HBM, DDR, CXL, storage, and memory-tiering strategies
- Near-memory and processing-in-memory architectures
- Reducing data movement, power consumption, and system cost
- Expanding effective memory capacity and utilization
- New hardware architectures that outperform current AI systems
Key Responsibilities
- Architect AI systems, memory subsystems, and accelerator platforms
- Translate AI workload requirements into memory, compute, bandwidth, and latency specifications
- Design solutions leveraging HBM, DDR, CXL, memory pooling, disaggregation, caching, and persistent memory
- Analyze architectural tradeoffs across performance, power, capacity, area, and cost
- Characterize AI workloads including LLM inference, RAG, agentic AI, long-context inference, and KV-cache management
- Evaluate emerging technologies such as CXL memory expansion, memory compression, and near-memory computing
- Partner with software teams to optimize runtime, memory management, scheduling, and workload orchestration
- Build architectural models, simulations, benchmarks, and proof-of-concept prototypes
- Define product architectures, technical roadmaps, and system specifications
- Conduct technical due diligence on startups, technologies, IP, and M&A opportunities
Required Qualifications
- BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or related field (PhD preferred)
- 10+ years in computer architecture, memory systems, semiconductor design, AI hardware, or related fields
- Deep expertise in memory hierarchy and computer architecture
- Experience with HBM, DDR, CXL, PCIe, UCIe, high-speed interconnects, and/or AI accelerators
- Strong understanding of AI/ML workloads and architectural tradeoffs
- Demonstrated experience developing complex semiconductor or computing systems
- Proven ability to translate system requirements into hardware architectures and specifications
Preferred Experience
- LLM inference and transformer architectures
- KV-cache systems and AI inference runtimes (e.g., vLLM)
- CUDA/GPU architectures
- CXL 2.x/3.x, memory pooling, and memory disaggregation
- Processing-in-memory and near-memory computing
- AI networking and storage-class memory
- ASIC/SoC architecture, RTL, and microarchitecture
- Hardware/software co-design and architectural modeling
- Edge AI systems
#Enghp
Benefits
- Vacation/PTO
- Medical
- Dental
- Vision
- Equity
- 401k w/ match
- For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.This job was first posted by CyberCoders on 10/16/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at ****** to make arrangements.