NVIDIA is seeking a Senior Network Modeling Architect to join their Network Architecture, Modeling and Performance Insights group. The successful candidate will conduct advanced network research and optimization, utilizing and enhancing NVIDIA's simulation tools. In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will model advanced network topologies, configurations, logic, and traffic patterns, and analyze their effect on end-to-end performance. Responsibilities: Analyze and model NVIDIA's AI and HPC offerings, deep dive into network behavior for training and inference, and generate insights to directly impact the architecture of next-generation AI systems. Write production-quality C++ and Python code daily, hands-on modeling of advanced network topologies, configurations, and traffic patterns representing real-life AI workloads, and analyze their effect on the system's performance. Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment, and optimization. Take full independent ownership of the performance modeling roadmap for a defined set of features, interface directly with internal clients, communicate analysis conclusions effectively, and iterate on them. Improve the quality of the simulation as a software product, ensuring robustness and reliability. Requirements: BSc or above in Computer Science, Electrical Engineering, or a related field. 5+ years of recent hands-on coding experience with strong proficiency in C++ and Python. End-to-end system perspective, capable of bridging the gap between hardware behavior, micro-architecture, and software performance. Project ownership capability with proven ability to lead technical initiatives, prioritize features, and manage project lifecycles autonomously with minimal supervision. Preferred qualifications: Strong background in communication networks technology, deep understanding of Ethernet, NVLink, and/or Infiniband technologies, data center infrastructure, and network protocols. Familiarity with discrete event simulators (e.g., OMNeT++, SystemC, or proprietary architectural simulators). Advanced degree or experience focusing on computer architecture, algorithms, networking, or distributed systems.