Senior System SW Architect (AI-SuperNIC)

Company

hirify.global develops AI infrastructure focused on high-performance scale-out networking solutions for modern data centers.

What you will do

• Lead the software architecture and technical roadmap for the next-generation ultra-low-latency AI-SuperNIC software stack.
• Define interfaces and partitioning across hardware, firmware, kernel drivers, user-space libraries, and AI frameworks.
• Design high-performance networking, RDMA, and GPU-direct communication capabilities.
• Drive software support for UEC, UALink, MRC, and RoCEv2 technologies and ecosystems.
• Lead profiling, benchmarking, and optimization for GenAI and distributed AI workloads.
• Collaborate with hardware, VLSI, customers, partners, open-source communities, and software engineers while providing technical mentorship.

Requirements

• BSc or MSc in Computer Science, Electrical Engineering, or a related field.
• 7+ years of experience in software architecture, networking software, or system software development.
• Strong experience developing Linux kernel drivers, firmware, and user-space networking software.
• Deep understanding of data-center networking, including Ethernet, TCP/IP, routing, switching, and congestion management.
• Experience defining architectures spanning hardware, firmware, kernel, and user-space components.
• Strong C/C++ programming, Linux development, cross-functional technical leadership, debugging, and performance-optimization skills.

Nice to have

• Experience with RDMA, low-latency networking, libfabric, libibverbs, RDMA-core, DPDK, or SPDK.
• Familiarity with GPUDirect RDMA, NCCL, NVLink, or UALink.
• Experience optimizing communication for distributed AI/ML workloads and working with SmartNICs, DPUs, NICs, or networking ASICs.
• Contributions to open-source networking or Linux kernel projects.
• Deep understanding of GenAI/ML infrastructure and distributed workloads.

Culture & Benefits

• Cross-functional collaboration across AI, platform, driver, hardware, system architecture, and VLSI teams.
• Technical leadership and mentorship within firmware, driver, and networking software development.
• Collaboration with customers, partners, and open-source communities to support ecosystem compatibility and adoption.