System Architect

Define product requirements and architecture for next-generation ultra low-latency AI-SuperNIC
Design end-to-end data paths across NIC, host, and GPU memory, with focus on GPU connectivity (PCIe, NVLink, CXL)
Lead adoption of emerging standards such as UEC and UALink, while maintaining compatibility with existing ecosystems
Establish architecture guidelines and partitioning across hardware, firmware, and software
Drive performance modeling, analysis, and system-level optimization for AI workloads
Optimize scale-out communication patterns (e.g., collectives) for GenAI training and inference
Collaborate with software teams on drivers, runtimes, and integration with AI frameworks
Work with R&D, CTO, and peer architects on system definition and trade-offs
Engage with customers and partners to shape system requirements and use cases
דרישות התפקיד
eld
5+ years of experience as a system architect on complex SoCs or data center systems
Strong experience with large-scale systems integrating hardware, firmware, and software
Background in high-performance systems, networking, or data center infrastructure
Experience working with GPU-based systems or AI/ML workloads
Knowledge of high-speed interconnects such as PCIe

Nice to have

Experience with UEC, UALink/NVLink, RoCEv2, NVMe-oF, or RDMA technologies
Familiarity with IP networking, TCP/UDP, or network security
Experience with in-network compute (e.g., SHARP, INC)
Deep understanding of GenAI/ML infrastructure and distributed workloads