Senior System SW Architect – AI SuperNIC

NeuReality is seeking a Lead System Architect to join our system architecture team and help define the next generation of our AI-SuperNIC scale-out chip.

AI scale-out communication is a critical element in modern data centers, and emerging standards such as Ultra Ethernet aim to address this challenge. This role focuses on defining a high-performance Smart NIC architecture optimized for GPU-centric AI workloads, with emphasis on low-latency, high-bandwidth data movement.

You will work across hardware and software domains, collaborating closely with AI, platform, driver, and VLSI teams to design a competitive scale-out networking solution.

Responsibilities

• Lead the software architecture and technical roadmap for or NeuReality’s next-generation ultra low-latency AI-SuperNIC software stack, including drivers, firmware, libfabric, and libibverbs.
• Define the partitioning and interfaces between hardware, firmware, kernel drivers, user-space libraries, and AI frameworks.
• Lead the design and implementation of high-performance networking, RDMA, and GPU-direct communication capabilities.
• Drive software support for emerging technologies and standards such as UEC, UALink, MRC and RoCEv2 ecosystems.
• Work closely with hardware, system architecture, and VLSI teams to optimize performance, scalability, and feature delivery.
• Define performance goals and lead profiling, benchmarking, and optimization efforts for GenAI and distributed AI workloads.
• Collaborate with customers, partners, and open-source communities to ensure ecosystem compatibility and adoption.
• Mentor software engineers and provide technical leadership across firmware, driver, and networking software development.

Requirements

• BSc/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
• Proven experience defining software architectures that span hardware, firmware, kernel, and user-space components.
• Strong programming skills in C/C++ and experience with Linux-based development environments.
• Experience leading cross-functional technical initiatives and collaborating with hardware and system architecture teams.

Nice to Have

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