Senior Network Modeling Engineer
NVIDIAJob Title
Senior Network Modeling Engineer
Role Summary
The Senior Network Modeling Engineer will develop and maintain network simulation tools, model advanced network topologies and traffic patterns for AI and HPC systems, and drive performance analysis that informs system architecture decisions.
Works within the Network Architecture, Modeling and Performance Insights group, collaborating with hardware and software teams to validate models against real system behavior.
Experience Level
Senior — requires substantial professional experience (see requirements).
Responsibilities
Primary responsibilities include building and using simulation tools to analyze network behavior and performance for AI/HPC workloads.
- Model advanced network topologies, configurations, and traffic patterns representative of real AI/HPC workloads.
- Develop, extend, and maintain the simulation codebase; contribute modular, scalable C++/Python code.
- Analyze end-to-end system performance and provide actionable insights to architects and product teams.
- Map hardware and software features into the simulation domain to support design trade-offs and optimizations.
- Own the performance modeling roadmap for assigned features and drive projects from concept to delivery.
- Validate modeling assumptions against hardware and software measurements; improve simulator robustness and reliability.
Requirements
Must-have technical skills and experience; followed by concise nice-to-have items.
- 5+ years of professional hands-on coding experience.
- Strong proficiency in C++ and Python; comfortable navigating and optimizing large-scale codebases.
- End-to-end system perspective: able to relate hardware behavior and microarchitecture to software performance (latency/throughput).
- Proven project ownership and ability to lead technical initiatives with minimal supervision.
Nice-to-have
- Background in communication networks (Ethernet, NVLink, InfiniBand) and data center networking protocols.
- Familiarity with discrete event simulators (e.g., OMNeT++, SystemC, or architectural simulators).
- Experience in computer architecture, distributed systems, or algorithms beyond core requirements.
Education Requirements
BSc or above in Computer Science, Electrical Engineering, or a related field. Advanced degrees (MS/PhD) in computer architecture, networking, distributed systems, or related areas are listed as preferred.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
