Senior Network Modeling Engineer

NVIDIA is spearheading the AI revolution and creating state-of-the-art accelerated compute platforms for global utilization.

Our Network Architecture, Modeling and Performance Insights group is seeking a skilled and driven Network Modeling Engineer to conduct advanced network research and optimization while utilizing and enhancing our advanced 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.

Responsibilities:

• Analyze and model NVIDIA’s AI and High Performance Computing offerings, deep dive into network behavior for training and inference and generate insights to directly impact the architecture of next-generations of AI systems.
• Conduct advanced network modeling, research and optimization using innovative simulation tools.
• Implement modeling of advanced network topologies, configurations and traffic patterns which represent real life AI workloads, and analyze their effect on the system’s performance.
• Actively develop the simulator software solution while contributing modular and scalable code.
• 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 the analysis conclusions effectively and iterate on them.
• Drive projects from concept to completion.
• 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 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 (latency/throughput).
• Project ownership capability with proven ability to lead technical initiatives, prioritize features, and manage project lifecycles autonomously with minimal supervision.

Nice to Have:

• 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.