Software Architect, AI Networking

Overview

• NVIDIA seeks a highly motivated Software Architect to join our Networking Software Architecture team in Israel.
• In this role, you will work on innovative technologies shaping the future of AI cloud systems and RISC-V networking accelerators.
• We develop RDMA transport protocols and low-level software within the Networking team.
• Efficient and fast communication between GPUs directly impacts end-to-end AI application performance an impact that continues to grow with the increasing scale of next-generation systems.
• In this role you will help design infrastructure, build proofs-of-concept, and evaluate protocol performance to deliver platforms the world has never seen before.
• What You'll Be Doing Design & Software Development : Help build and maintain C/C++ infrastructure, embedded software components, and runtime environments supporting programmable RDMA protocols for the East/West (E/W) AI networking stack.
• PoC & Quantitative Modelling: Build proofs-of-concept, conduct hands-on experiments, and perform quantitative modelling to evaluate performance and drive new networking innovations.
• Cross-Functional Collaboration: Partner with hardware, firmware, architecture, compiler, and SDK teams to lead cross-stack innovations and integrate scalable networking solutions.
• Documentation & Technical Clarity: Craft, refine, and maintain technical design documents, test results, and specs to effectively engage with a globally distributed engineering team.
• What We Need to See Education : Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
• Experience : 0-5 years of experience in low-level software development, networking, or systems programming.
• Core Skills: Strong proficiency in C and/or C++ and solid system-level debugging skills.
• Networking & System Foundations: Background or coursework in computer architecture, operating systems, and networking protocols (e.g., TCP/IP, RDMA, or InfiniBand fundamentals).
• Communication : Strong articulation skills for crafting clear technical documentation and collaborating across global engineering teams.
• Mindset : Curiosity, strong problem-solving abilities, and an eagerness to constantly learn and improve your technical expertise.
• Ways to Stand Out from the Crowd Hands-on experience or academic projects focusing on RDMA, InfiniBand, SmartNICs, or packet processing.
• Familiarity with RISC-V execution environments, RTOS, board bring-up, or driver development.
• Practical experience with Linux kernel development, network simulation tools, or performance profiling.