Memory System Architect

Job Title: Memory System Architect NumemLocation: Mesa, AZ 85210 - OnsiteNumem is currently seeking an experienced, hands-on Memory System Architect to play a pivotal role in shaping our next generation of MRAM-based AI memory products. This position is central to defining and evolving the architecture of our AI Memory Engine, discrete MRAM products (reaching capacities of 1GB+), and embedded memory subsystems across advanced process nodes ranging from 12nm down to 5nm.In this role, you will be expected to lead architectural innovation and provide technical guidance throughout the design implementation phase. Furthermore, you will collaborate closely with customers on specific applications to address and resolve critical memory bottlenecks within AI-centric systems.Key ResponsibilitiesDefine overall architecture for MRAM based systems including bus interfaces balancing protocol, bandwidth, power and product costLead modeling and performance analysis for power, latency, bandwidth, endurance, and area trade-offsetCreate system solutions that enable adapting MRAM based products to be performed with multiple different interface standards (LPDDR, UCIE, XSPI etc.)Document and be responsible for all the architecture specifications related to roadmap IP’s and productsSupport customer acquisition and enablement using models and documentsDevelop and deliver system-level modeling and simulation environment for next-generation AI memory solutionsAbout NumemNumem is redefining memory for AI. Our patented AI Memory Engine and MRAM-based architecture deliver SRAM-class performance, ultra lower power, and up to 2.5× density improvements, unlocking the next generation of memory solutions for edge AI, data center, automotive, and wearable devices. With major design engagements across TSMC, Samsung, and TI, and collaborations with leading tier 1 AI customers, we are pushing the frontier of high-performance memory at scale. Numem is a memory start-up that is looking to address the AI Memory Wall and unleash AI system level performance. We work with leading foundries to build products and plan to ramp revenue starting in 2027.Required Qualifications:Education: BS/MS in Electrical Engineering or Computer Engineering.Experience: 8+ years of experience in memory architecture and memory IO interfaces at advanced nodes.Architecture: Demonstrated proficiency in creating and driving architecture specifications.Systems & Drivers: Exposure to system Linux drivers for LPDDR, PCIe, and CXL.Technical Integration: Strong system-level perspective, including interaction with compute cores and SoC interconnects.Lifecycle Experience: Prior experience bringing memory subsystems from concept through silicon validation.Subsystem Knowledge: Detailed knowledge of cache subsystems (caching policies, latency, bandwidth, and hierarchies) and memory subsystem design, including existing/emerging JEDEC standards.Optimization: Understanding of the roles of CPU, memory hierarchy, and accelerators in optimizing system-level power and performance for complex workloads.Modeling: Proficiency in various levels of modeling (analytical, TLM, cycle accurate) and their respective tradeoffs.Soft Skills: Excellent communication skills and the ability to work cross-functionally in a fast-paced startup environment.Preferred Qualifications:·      Working knowledge of simulation frameworks such as QEMU, Gem5, DRAMPower, DRAMSim, or other open-source simulators.·      Familiarity with memory and interface technologies including DRAM, HBM, NVMe, CXL, and PCIe.Why join us?We are looking for innovators to help build a transformative, AI-first memory architecture from the ground up. In this role, you will collaborate with industry-leading partners and a world-class team supported by Cambium Capital to bring cutting-edge MRAM solutions to the global market. You will play a pivotal role in shaping the direction of our technology from a system-level perspective while gaining unparalleled technical insights from veteran memory architects. If you are looking to bridge the gap between advanced memory devices and real-world AI applications, this is the place to make a definitive impact.Job Type: Full-timePay: $175,000.00 - $200,000.00 per yearBenefits:·      401(k)·      Dental insurance·      Flexible schedule·      Health insurance·      Paid time off·      Vision insurance