Senior AI Network Modeling Architect

Responsibilities

• Directly impact the architecture of NVIDIA’s next generation AI and HPC offerings through modeling, simulation and analysis.
• Deep dive into network behavior for training and inference use cases under advanced network topologies, configurations and traffic patterns which represent real life AI workloads, and analyze their effect on the system’s performance.
• Develop advanced simulation solutions 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.
• What we need to see
• 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. You must be comfortable navigating, optimizing, and contributing to a complex, large-scale codebase.

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